CN116933992A - Object feature evaluation method and system based on supply and demand relation - Google Patents
Object feature evaluation method and system based on supply and demand relation Download PDFInfo
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Abstract
The invention discloses a method and a system for evaluating object characteristics based on a supply and demand relation, and relates to the technical field of analysis and management of supply and demand generation. The method comprises the following steps: establishing a database, and evaluating the parent supply quantity characteristics of each dimension; assessing structure, period and function under maternal action; evaluating the relation characteristics of two linear regression equations through a conical curve equation formed by points where the straight lines of the linear regression evaluation equations intersect; and evaluating the circulation characteristics at each stage and performing amphoteric evaluation; evaluating seven-emotion characteristics of different data optimization modules and individuals; determining the precision and accuracy characteristics of different stages; assessing injury and repair for overall and individual correlations; evaluating the characteristic quality genes, evaluating the characteristic quality applications, including inheritance and talent selection evaluation; according to the supply and demand relation, automatically selecting quality characteristics and selecting by people under the comprehensive factors of individual and group characteristics.
Description
Technical Field
The invention relates to the technical field of analysis and management of supply and demand generation, in particular to a method and a system for evaluating object characteristics based on supply and demand relation.
Background
The human science and technology are different day by day, the information amount is larger and larger, and innumerable databases are formed. Classifying databases to form various disciplines, but how to recognize the commonalities and the essence of things exist is not enough, so that development of an evaluation method and system is needed, and from the perspective of supply and demand, the characteristics of the characteristics, the periodicity, the ampholytic relation of the structures and the functions of the parent, the seven emotions and different data optimization adapting to the whole environment, and the accuracy and the precision of analysis things are discovered; and analyzing damage and repairing, and establishing the autonomy reaching the target. Has prospective effect and meaning on core gene evaluation and inheritance, and finally serves the talents selection.
Disclosure of Invention
The invention aims to provide an object feature evaluation method and system based on a supply and demand relation, which solve the problems related to the background technology.
In order to solve the technical problems, the invention adopts the following technical scheme: a method for object feature assessment based on supply and demand relationships, comprising the steps of:
s1, establishing a database, and evaluating the parent supply quantity characteristics of each dimension;
s2, evaluating the structure, period and function under the action of a parent body;
S3, evaluating the relation characteristics of two linear regression equations through a conic equation formed by points where straight lines of the linear regression evaluation equations intersect; and evaluating the circulation characteristics at each stage and performing amphoteric evaluation;
s4, evaluating seven-emotion characteristics of different data optimization modules and individuals;
s5, determining the precision and accuracy characteristics of different stages;
s6, evaluating damage and repair aiming at the correlation between the population and the individual;
s7, evaluating characteristic quality genes, wherein the characteristic quality genes comprise average values corresponding to individual and even group data, the average values of the above dimensions evaluate genes of the next dimension corresponding to the maximum probability density of the data, and the possibility of development of the next dimension is evaluated.
S8, evaluating characteristic quality applications including inheritance and talent selection evaluation;
s9, automatically selecting quality characteristics and selecting and pulling by people according to supply and demand relations under the comprehensive factors of individual and group characteristics.
In a further technical scheme, a database is established in the step S1, and the characteristic evaluation of the parent supply quantity is carried out, wherein the specific steps are as follows: collecting an internal factor and external factor database, collecting process quantity and structure process quantity data of an knot, collecting data in the embryo development process, collecting physical examination data and spirit and life state data of an individual, corresponding to common physical phenomenon characteristics caused by time and celestial periodic variation rules, correspondingly extracting various characteristics of the individual, family, unit, social area, nature and society, forming a database according to the mean value and standard deviation of time corresponding information, establishing a probability range of consumption and supplementary intersection, and evaluating the supply and demand relationship of a child body as a balance body and a parent body according to an input and output quantity balance principle of the consumption equal to the supplement; wherein, supplies are automatically classified according to the supply of the parent which is the congenital of the individual by the postnatal of the individual, the supply of the parent which is the acquired of the individual by the congenital of the group, and the supply of the parent which is the congenital of the group by the postnatal of the group; the demands are automatically classified according to the child demands of individuals with congenital nature, the child demands of individuals with acquired nature and the child demands of groups with acquired nature.
The further technical scheme is that in the step S2, the structure, period and function are evaluated under the action of the parent, specifically: according to the principle that the focus is the average value of the whole body, respectivelyTwo global mean points, the coincidence between the dependent variable and the independent variable is realized by applying a fitting analysis methodThe points at which the two linear regression evaluation equations intersect form a curve; according to the balance principle that the consumption is equal to the supplementary input and output quantity, the sub-body is evaluated as a balance body, and a 'knot' module is obtained from the internal factor and the external factor of the sub-body; the "junction" module is a distributed state, determined by the subinternal factors, evaluating b Outer part The probability of occurrence of a random demand of at most k is P.ltoreq.k, whereinIf the probability of at least k is P.gtoreq.k, whereinP(b Outer part ) B is Outer part Is a data bias distribution function of (1); a, a Inner part For continuous supply, the probability F (a) is increased by diffusion from high density to low density Inner part ) To P (b) Outer part ) Directional diffusion, formulaF(a Inner part ) Is a as Inner part A) data normal distribution function of (a) Inner part Is a continuous variable; f (a) Inner part ) And P (b) Outer part ) The formed function determines the two overall synthesized automatic forming patterns of normal distribution and bias distribution as a junction; if the curve is constructed, the junction corresponds to this cancellation>Alternatively, y 2 =2px or x 2 =2py equilibrium state, or conform to These three morphologies are referred to as junction tristate, respectively;
the "structural" module is the range of the "knot" and is determined by the parent exogenous factor and endogenous factor a Inner part Is a continuous normal distribution, the average value mu Inner part And exogenous cause b Outer part For discontinuous bias distribution, standard deviationThe composition is within the probability range (μ) of "composition Inner part -u Inner part σ Outer part ，μ Inner part +u Inner part σ Outer part ) Internally distributing, and solving the area of a conical curve, wherein the closed elliptic area f=ab, and solving the limit on the areas of a hyperbola and a parabola;
cycle: according to the conic curve, collecting the process quantity of the knots generated by the internal factors of the subvolumes from 0 to 1 as the period of the conic curve, and taking the individual as the parent of the subvolumes between the subvolumes and the parent; the periods of maternal formation as the maternal of the individual are opposite and identical, the whole period T runs out 0-2 pi, i.e. the whole elliptical area, i.e. mt=2mf, f is the elliptical area ab; ellipseAngular momentum M conservation in the overall process of the equation and glancing speed +.>The following relationship is provided: />Cycle time
The functions are as follows: determining the classification of the upper stage and the lower stage from the period, taking the mean value of the upper stage as a focus forming standard, wherein the lowest consumption for realizing the standard is 'work', and the specific expression is 'elliptic area', namely ellipse f=ab; and the highest efficiency is the power " All the consumption including "work" in this process is collectively referred to as "energy";
and corresponding the acquired data, and evaluating the congenital features and the acquired features of the individuals and the groups according to three factors of a structure, a period and a function.
A further technical scheme is that the step S3 evaluates the conic section square formed by the points where the straight lines of the equation are intersected through linear regressionEvaluating the relation characteristics of two linear regression equations; and evaluating the circulation characteristics at each stage and performing amphoteric evaluation; when the periodic evaluation is in the same dimension, the linear evaluation is further carried out on the data x and y according to the structural data x and the functional data y, the independent variables in x and y are subjected to correlation evaluation through a fitting analysis method, weights are given to all factors, and A, B groups of classifications are determined for the mutual balance factors; classifying the data into a matrix A and a matrix B; then evaluating through A, B two matrixes, and respectively forming the amphiprotic of the individual, the amphiprotic of the excessive population from the individual and the amphiprotic of the population according to the period; when matrix A+matrix B is approximately 0, i.eMatrix A×matrix B-1, the complementarity is evaluated +.>Wherein M is 1 ＝A 11 (B 12 -B 22 )，M 2 ＝(A 11 +A 12 )B 22 ,M 3 ＝(A 21 +A 22 )B 11 )，M 4 ＝A 22 (B 21 -B 11 )，M 5 ＝(A 11 +A 22 )(B 11 +B 22 )，M 6 ＝(A 12 -A 22 )(B 21 +B 22 )，M 7 ＝(A 11 -A 21 )(B 11 +B 12 )。
In a further technical scheme, in the step S4, the data optimization module performs optimization on the data classified according to the collected data expression form and the seven-emotion feature evaluation of the individual, and includes: the system comprises an information data optimization module, an access amount data optimization module and a centralized and discrete change rate optimization module; the information data optimization module comprises: specifically, defining the mean value of direct information as the desire, and performing u-test or t-test; defining the variance of indirect information as smell, and performing F test; the input/output data optimization module comprises: defining the intake data as appetite and the output data as color desire; the centralized and discrete change rate optimization module comprises: defining the rate of change of the concentrated data as intended and the rate of change of the discrete data as intended; threshold evaluation is carried out on the data six, and the data is gradually optimized along with the increase of the data;
For the vision, setting the average information data quantity mu value of something to correspond to the maximum value of probability density; setting standard deviation information quantity sigma value representation of something data to correspond to the whole distribution state by using quantileTo indicate the evaluation to be performed;
for smell, the data are grouped and the mean deviation SS is determined, usingTo indicate the smell to evaluate;
for appetite and color desire, the input and output data are collected and interacted data are perceived through probability diffusion force F, the input quantity is approximately equal to form a balance body, the input quantity is approximately equal to form the balance body as an individual, and y 2 =2px; in the junction module, besides the balance body, there are two conical curve acting forces, when the supply is over demand, the appetite is estimatedAssessing color desire when supply is inadequate
For body desire, each population has a core axis and dispersion, and data which does not take the core axis as an external factor is approximately equal to the external factor, so that the deviation average difference is larger; generating an average value by taking the data of the nuclear mandrel as a reference and the inner factor of the data; data x of the inner and outer causes Inner part And x Outer part The endogenous action brings the core 1 into proximity, i.eThe exogenous effect increases the distance, i.e. +.>Determination of the global data x of an congenital basic sample Total 0 And find the mean +.>Taking the period of internal and external causes- >Set as congenital T 0 Is a basic unit; further, the dimension is determined, and the overall data X is set Total (S) And find the mean +.>Taking the period of internal and external causes->Every dimension period +.>Time->When->At the time of limit->Dimensions are relative, each dimension = lnt, where ln is the natural logarithm underlying e and T is the period; setting lnT 0 The dimension is a basic dimension, and the quantized value of the dimension is lnt; collecting different data, and defining the feeling data of coldness, heat, pain, touch, pressure and the like in a human body as body desire relative to the ratio of the diffusion force from the upper dimension to the lower dimension to the time between the different dimensions;
for the purpose of intention, when the target value is the probability density corresponding to the mean value of the upper dimension, dimension feeling which can be classified is generated in the human body, and the data which is shown as ideal, intention and automatic in the human body is defined as 'intention' relative to the ratio of the diffusion force of the lower dimension to the upper dimension between different dimensions; generating two focuses by the nuclear spindle of the upper dimension and the lower dimension;
for the data optimization module, the weight analysis is carried out by a fitting analysis method, namelyThe distribution of data is carried out through information, access balance and interaction, defensive, comfortable and contending information sense is defined, when consumption energy is larger than complementary energy, the feeling of contending is generated when supply and shortage are required, and when the consumption energy is smaller than complementary energy, the feeling of defending is generated when supply and shortage are required; hyperbolic curve in which comfort is balanced, i.e. supply and demand, and elliptic eccentricity e of supply and demand Hyperbola curve ×e Ellipse At=1, an equilibrium state is reached.
Seven-emotion feature assessment: after the information data, the interaction data and the input and output data of six subjects are combined in pairs, according to the information and information metabolism balance, the mechanical and mechanical metabolism balance and the chemical and chemical metabolism balance in the living state of the individual, all metabolism can produce release quantityCorrelation analysis by fitting analysis to determine the dependent variable +.>Will->Combining with time to form eight combination modes, namely release amount data, release mode data and release rhythm data, which are called seven-emotion characteristics;
the entropy increase and the enthalpy change are evaluated: dependent variableFor entropy increase, the state of entropy increase is changed by adjusting the enthalpy change, ++>
A further technical solution is the evaluation of precision and accuracy in step S5, specificallyIn the same coordinates, setting coordinates of the collected data through an EXCEL table, and normally distributing the collected continuous data on the coordinates to form concentrated and discrete trend evaluation; specifically, in the normal distribution, the probability density of the normal distribution corresponding to the mean value is the largest, and the accuracy is the highest;the larger the probability range, the larger the accuracy; specifically, the expression is respectively expressed according to the individual, population and subject data of nature through an EXCEL table: the intelligence quotient and intelligence quotient module, the Germany and law module and the science and philosophy module of the group of individuals;
Intelligence quotient and intelligence quotient assessment: evaluating a normal distribution map formed by various perceived continuous information data of the individual; the higher the accuracy, the more intelligence; the higher the accuracy, the more the intelligence quotient;
and D, a Germany and method module: designing coordinate axes, wherein the abscissa is a set of each regulation system, the ordinate is a crossed public order colloquial, and a normal distribution map is formed through cultural continuous data for evaluation; the precision conforming to the popular sequence is called De; accuracy in compliance with crossing regulations, expressed as fairness features, is known as law;
scientific and philosophy module: in the design coordinate axis, the abscissa is a continuous data set of each subject through practice and observation, and the ordinate is an intersecting subject, so that a normal distribution diagram is formed for evaluation; the accuracy of the distribution that meets the maximization of the probability density of repeatability is called science; the accuracy of conforming to the characteristic probability range across the families is called philosophy.
The further technical scheme is that in the step S6, the damage and repair assessment is specifically: determining the period generated by the action of the upper dimension or the action of the lower dimension of each dimension, and classifying the periods; due to the effect of the upper dimension, a central trend is generated, an elliptic curve is generated by taking the core axis mu as a focus, and the eccentricity e Ellipse <1 focal lengthTension of two focal forces of the core axis, wherein the last dimension radius>The dimension isRadius of degree. Due to the action of the next dimension, a discrete trend is generated; hyperbolic effect, eccentricity e, produced with nuclear spindle as focus Hyperbola curve >1, focal length->Tension of two acting forces of the core shaft; wherein the dimension radius>The radius of the next dimension; two force differences between two of these cancellation forces in the ellipse of the central tendencyDifference between two forces in hyperbola with discrete trend +.>Balance between->The equilibrium of the phase-generating phase-gram, namely, the concentrated trend is approximately equal to the discrete trend; the data meeting the above dimension is balance data; the probability range of the balance volume data occupying the previous dimension is a 'structure' range (mu) Last dimension of -u Last dimension of σ Next dimension of ,μ Last dimension of +u Last dimension of σ Next dimension of ) The method comprises the steps of carrying out a first treatment on the surface of the In this range, a yield of ε is generated Ellipse ×e Hyperbola curve Real axis a of =1 hyperbola Hyperbola curve With the major axis a of the ellipse Ellipse Exactly matching the focal length with the concept of golden separation point, i.e. 4c 2 ＝a Hyperbola curve ×a Ellipse ；
Evaluation of damage and repair: determining the dimension, converting from high dimension to low dimension,changing the existing balance into functional injury; conversion from low to high dimension, ++ >Changing the existing balance into function repair; the extent beyond "conformation" is injury; wherein the high-dimensional mean value is a target value with low dimension, the restoration is a concentrated trend, and the input amount is larger than the output amountRegression of the "constructed" range; damage is a discrete trend, with greater output than input, away from the "constitutive" range.
A further technical scheme is that in the step S7, the gene module is as follows: determining genes in each dimension, and obtaining a mean value and a maximum probability density in the whole of different dimensions as a gene target with low dimension; evaluating the total standard deviation of each dimension, determining the characteristic of the dimension, wherein the characteristic of the dimension is characterized by taking the mean mu as a standard and dividing the characteristic valueRepresenting the similarity of the probability as the intrinsic feature to evaluate in the high-dimension probability feature;
and collecting data and establishing a database. Determining the core quality of the low dimension through the high dimension average in each dimension; further, the probability range of the high-dimensional structure is determined through the low-dimensional confidence interval. Respectively establishing databases, including: a human body gene library and a human body physical examination library; family culture characteristics library, family members composition and change database; a human unit cultural feature library, a human unit structure composition and change database; a natural and social cultural feature library, a natural and social structural composition and change database;
The genetic modules are selected and determined, and the probability range of the similarity is evaluated respectively: wherein, a family culture and gene module: carrying out correlation test on the characteristics of the person and the family through a linear regression equation; performing correlation test on the characteristics of the person and the person unit; furthermore, the culture and genes are taken as development trends according to the development changes of the database simulation people; and evaluating family culture and individual development. The probability range of similarity is evaluated by dividing the eigenvalue u, where the genericity is represented by the slope of the independent variable of the linear regression evaluation equation and corresponds to the mean.
Wherein, a social area culture and gene module: carrying out correlation test on the characteristics of families and the cultural cores of the social areas through a linear regression equation; carrying out correlation test on the characteristics of the personnel unit and the social area culture; further, simulating development changes of families and human units according to the database, wherein the culture and genes (including the rules and the common knowledge and the common rank colloquial) are taken as development trends; the social area culture is evaluated with the development of families or persons. The probability range of similarity is evaluated by dividing the eigenvalue u, where the genericity is represented by the slope of the independent variable of the linear regression evaluation equation and corresponds to the mean.
Wherein, a regional culture and gene module: carrying out correlation test on the characteristics of the region and the social and natural cores through a linear regression equation; carrying out correlation test on the social characteristics of the region and the social and natural cores; further, simulating development changes of nature and society according to the database to evaluate the civilization genes as development trends; and (3) evaluating culture and regional development evaluation of the development of the philosophy culture and science technology, wherein the genetics are represented by the slope of independent variables of a linear regression evaluation equation and correspond to the mean value.
In a further technical scheme, in the step S9, the input requirement is used as a standard, the modules are compared with the requirement standard according to the mean value, the modules are matched with one another to form a preferred module, and the modules are not matched with one another to form an exclusion module; in the optimization module, automatically outputting talent individuals and the selection and culture module;
inputting demand data to establish a data whole, and solving a whole mean value and a standard deviation; the preferred module is selected by correlation verification.
The method comprises the steps of carrying out weight of a linear evaluation equation according to the overall mean value and standard deviation established by the demand data, establishing learning professional talents corresponding to various databases, and establishing a learning talents database, wherein the method comprises the following steps: a substance civilization database, a mental civilization database and a practical talent individual database; if talent individuals can solve the problem of the whole demand, the talent is called a capability database for processing the problem;
Evaluation of talents and community attributes: hyperlinking or fuzzy searching is carried out on keywords in the target database, talents and community databases, and weights of defects are evaluated after classification are selected from linear correlation regression equations according to the types of the missing talents or communities analyzed in each population: the query defect basis is the required quality characteristic.
The system corresponding to the method comprises an acquisition module, a storage module, a management module, an analysis module, a communication link and a terminal module;
the acquisition module is used for acquiring an internal factor and external factor database, acquiring process quantity and process quantity data of structures, acquiring data in the embryo development process, acquiring physical examination data and mental and life state data of an individual, and corresponding to general physical phenomenon characteristics caused by time and celestial periodic variation rules, and correspondingly extracting the average value and standard deviation of various characteristics of the individual, family, unit, social area, nature and society according to time corresponding information to form a database;
the storage module is used for storing the data acquired by the acquisition module, all or part of the data analyzed by the analysis module and the program codes;
The management module is used for classifying and extracting the data in the storage module, and obtaining a plurality of module data through classification;
the analysis module comprises: parent feature modules of each dimension; evaluating the structure, period and function modules, and the effort module, and the individual and population feature modules, both including congenital and acquired features, under maternal action; evaluating the circulation characteristics at each stage and performing an amphoteric evaluation module; the device comprises an optimization module of different data and a seven-emotion feature module of an individual; the precision and accuracy feature modules of different stages; balancing, damaging and repairing modules;
and evaluating characteristic quality genes, wherein the evaluation comprises an average value corresponding to individual and even group data, the average value of the above dimension evaluates the genes of the next dimension and evaluates the possibility of the development of the next dimension, and the average value of the above dimension corresponds to the maximum probability density of the data. The characteristic quality evaluation module; designing a inheritance assessment module; finally, according to the supply and demand relation, an automatic selection quality characteristic module is established under the comprehensive factors of the individual and group characteristics;
the communication link is a communication module, and data transmission is carried out among the modules through the communication link;
the terminal module is used for receiving and displaying target data and analysis results, displaying evaluation results of object environment adaptability and displaying evaluation results of intervention methods and modes.
Compared with the prior art, the invention has the beneficial effects that: from the perspective of supply and demand, the periodicity, the ampholytic relation of the parent characteristics, the structure and the functions, the seven sexuality adapting to the whole environment, and the standard of the analysis things, namely the accuracy and the precision are found; analyzing damage and repair, and establishing an automatic law for achieving a target; determining core characteristics and predicting development trend, selecting talents according to supply-demand relationship, and culturing and inheriting talents; the method can perform targeted intervention and adjustment, and automatically display and optimize.
Drawings
FIG. 1 is a block diagram of a data acquisition and analysis system according to a preferred embodiment of the present invention.
Fig. 2 is a block schematic diagram of the data acquisition device shown in fig. 1.
FIG. 3 is a flow chart of parent donation features generated by comparing different databases.
FIG. 4 is a schematic diagram of an algorithm showing the flow of actions of the structure and function generation perpendicular to each other.
FIG. 5 is a schematic flow chart of an algorithm showing an amphoteric essence.
FIG. 6 is an algorithm that expresses different classifications of data into different optimization modules according to different patterns; and the combination of the modes of energy release is a flow diagram of seven emotions.
FIG. 7 is a flow chart illustrating the concentration and dispersion trends to reflect accuracy and precision, with the accuracy and precision of the expression being used to express different meanings under different conditions, the mean corresponding to the probability density maximum reflecting the overall genetic profile.
FIG. 8 is a flow chart showing the principle of damage and repair according to an algorithm.
Fig. 9 is a schematic flow chart of a terminal module.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention. The present invention has the following definition of concept:
life: functional purposefulness and autonomy; and has relatively stable structural properties; and includes the ability to collect and analyze information; guiding the adaptability to the environment and the balance of the access through information; and have the general term for things characterized by periodic variations.
Supply and demand relationship: relation between supply amount and demand amount.
Object: anything that an object can perceive or imagine.
Dimension: each cycle is a dimension based on the period of the cycle. Things are considered to be an ensemble of individuals, each individual being a complete "cycle" with a period, and the ensemble being completed by the individuals in a sequence or distribution. The individual groups can be divided into smaller individual groups until individual groups which cannot be divided any more can be arranged into a cycle according to a certain order or distribution. The individual which cannot be subdivided is taken as a basic circulation, and the ratio of other overall systems to the basic circulation is taken as a dimension value. The cycle is again formed by the interaction of the overall concentration with the discrete two forces. The concentrated forces are formed by the upper dimension of the overall core and the discrete forces are formed by the lower dimension of the overall core. Each overall cycle is composed of cycles of individuals, and individuals as an overall, and next-level individuals. Examples: zero dimension is the basic ring, which is a point; one dimension is the kernel axis, which is a line segment in which points are concentrated on a line; two dimensions are two-point combinations generated by lines concentrated to a core axis, each two points form a line, a plane can be formed by combining the lines radiating to a zero dimension, and the like The index is a dimension value.
Parent body: when the object of inoculating the child is a parent, the individual in the population is the child inoculated by the parent.
Human unit: the device has a certain function, realizes the function by using labor force organization to produce labor, supplies wages and the like to workers, and supplies the workers with units for maintaining labor remuneration of families.
Family: is the minimum population unit of inoculated individual potential.
Celestial body periodic variation: is a representation of the movement, duration of change, and sequence of a substance, including both time of day and time of day concepts. The quantization value is determined by the ratio between celestial periods.
Dimension time: the value of the ratio quantization between the individual and the corresponding overall period is similar to the "celestial period change" and is used to represent the dimension value.
Linear regression equation: one of statistical analysis methods for determining the quantitative relationship of interdependence between two or more variables by regression analysis in mathematical statistics. The most simple of the correlations of variables is the linear correlation, and if there is a linear correlation between the random variable and the variable, the points derived from the test data will be scattered around a certain straight line. Thus, the type of regression function concerned can be considered as a linear function.
Fitting analysis was applied:
wherein the "correlation coefficient" isThe ratio of the product difference to the square difference is the fact that the points around the straight line are closer to and farther from the straight line, and the closer the coefficient R is to 1, the more normally distributed.
Fitting analysis: determining coefficientsThe closer to 1, the better the fitting degree, and conversely, the fittingDifference in degree, i.eMS Residual error =ss/(n-j-1), the adjusted R-Sq, which is also between 0% and 100%, the closer R-Sq (adj) is to R-Sq, indicating that the more reliable the regression model is. />The regression model error accounts for the percentage of the total error; R-Sq (adj) is the limit value of the regression model error to the total error. The larger the value is between 0% and 100%, the better the regression model is matched with the data, if the correlation exists, the correlation can be used, but the caution is needed, more than 85% is needed, and the relation is obvious.
According to this principle, each individual is taken as a factor, the values of the various factors are obtained and checked, and then fitted to the values of the relative population. The specific algorithm is as follows:
μ Y1 ＝β 0 +β 1 X 1 ；μ Y2 ＝β 0 +β 2 X 2 ；μ Y3 ＝β 0 +β 3 X 3 ；μ Y4 ＝β 0 +β 4 X 4 ……μ Yn ＝β 0 +β n X n the method comprises the steps of carrying out a first treatment on the surface of the (the constant term is beta 0 )
The ordinal numbers 1, 2, 3, 4, … … j of these factors are set to j,degree of freedomSo MS->Then, in these groups, we average the total number of them, i.e. +. >Then the first time period of the first time period,here n factors, j=n, so +.>Find->When the probability P is less than 0.05, the method is significant, namely belongs to the same class. Then, by the above analysis, it can be derived whether it is the same class, reflecting the relative degree of concentration and dispersion of individuals and populations. By the same class is meant that the individual variables have the same properties as the dependent variables.
Applying a least squares method to each factor to obtain a sum of squares of residuals SS n To the minimum, a least square method is applied to obtain the sum of squares of the residual errors SS to the minimum,
analyzing the regression relation between the individual and the population, and obtaining a regression equation of each factor: average->
Multiple regression equation:
(the coefficients are not all zero, a linear equation can be formed)
Therefore, it isLooking up the table to obtain that P is less than 0.05.
Regression equation slope comparison: slope is the mean value, i.e. the standard errorWhether each factor accords with regression equation or not, judging +.>The value conforming to P < 0.05 is significant. (the constant term is a=β 0 )。
Further, the analysis was performed by "fitting analysis".
Finally, a solution of a linear regression equation is formed:
wherein,,
calculating the probability range and the risk of each factor independent variable, and the estimated value and the risk of the dependent variable, wherein the probability range of each factor independent variable;
Optimizing and selecting: according to the relation analysis method between the application interval and the probability, namely, the statistical corresponding probability is 68.27% (u=1), namely [ mu+/-sigma ]]70% (u=1.04), i.e. [ mu.+ -. 1.04. Sigma ]]75% (u=1.15), i.e. [ mu.+ -. 1.15. Sigma ]]80% (u=1.28), i.e. [ mu.+ -. 1.28σ ]]85% (u=1.44), i.e. [ mu.+ -. 1.44. Sigma ]]90% (u=1.64), i.e. [ mu.+ -. 1.64 sigma ]]95% (u=1.96) i.e. [ mu.+ -. 1.96 sigma ]]99% (u=2.58), i.e. [ mu.+ -. 2.58. Sigma ]]Setting 68.27% as a common or normal range; and beyond this probability too low or too high is evaluated in combination with positive and negative correlations. Average outSum residual errorSum of squares SS, will->Instead of mu, SS instead of sigma 2 The probability range is evaluated.
Threshold analysis: the following is calculated between the different populations:
or->Wherein sigma is the total standard deviation; delta is the difference in overall parameters, noted as delta = μ in the two-mean Z test 1 -μ 2 μ is the overall average, the greater δ is the more likely it is to obtain a larger difference in the average of the two samples in the sample; wherein (1)>Alpha is false positive rate, namely effectiveness, and beta is false negative rate; the former is a normal distribution formula, and the latter is a binomial distribution formula; where N is referred to as a threshold.
If in the same population, the threshold isWherein,, If r is used, the sample correlation coefficient and ρ is used, the overall correlation coefficient.
Talent individuals: refers to individuals who meet or are close to the average of the entirety of the demand data.
Conservation of energy: the energy neither goes nor goes away from the void, it is only converted from one form to another, or transferred from one object to another, while the total amount of energy remains unchanged.
Conservation of materials: in any material system isolated from the surroundings (isolated system), the total mass remains unchanged regardless of the changes or processes that occur. Substance conservation law is that a substance is not lost or produced and can only be converted from one substance to another.
The meaning is that: the axis with the highest probability density corresponding to the overall average of the dimension is the concentrated trend of the reference system; the larger the rate of change of meaning, the harder and bitter the sensation;
the intention is to: the target value is the probability density corresponding to the mean value of the previous dimension, and the dimension sense which can be classified, namely, ideal, intention and automatic data are generated in the human body.
Body want: the ratio of the probability diffusion force from the upper dimension to the lower dimension and the dimension time between different dimensions is expressed as cold, heat, pain, touch, pressure and other sensory data in human body, and is called as 'body feeling'.
Balance: balance is a broad concept including a balance between the discrete trend of hyperbola and the central trend of ellipse; balance of access; balance of amphiprotic materials;
balance body: the balance is a narrow concept, and is a spatially distributed state formed by a diffusion force, and includes an integral formed by a quantity of the balance.
Entropy increase: the entropy increasing process is a spontaneous process of going from order to disorder. Thermodynamic definition: the entropy increase increases, the total energy of the system is unchanged, but the available fraction thereof decreases.
Enthalpy: enthalpy is a state function, i.e. the state of the system is fixed, and the value of the enthalpy is determined. The system always has entropy increase, and as the entropy increase is enlarged, the available energy is reduced; the environment continuously acts on the system to resist entropy increase and enthalpy decrease, and the reaction is spontaneous; entropy reduction enthalpy increase, reverse spontaneous reaction; entropy and enthalpy increase, and spontaneous high-temperature reaction; the entropy is reduced, and the low-temperature reaction is spontaneous. The enthalpy change is the difference in enthalpy between the product system state and the reactant system state. The variable of the entropy increase of the system is changed by the work done by the external environment. ΔH (enthalpy change) represents the increase in enthalpy of a phylogenetic process. Δh=Δu+Δ (pV) enthalpy=internal flow energy+work of pushing; where U represents thermodynamic energy, also known as internal energy, i.e., all energy within the system; p is the pressure of the system and V is the volume of the system.
Gene: genes (genetic factors) are narrowly defined segments of DNA or cultural characteristics that have a genetic effect. The gene refers to the position with the highest probability density corresponding to the average value of the overall data of the normal distribution.
Referring to fig. 1, a block diagram of a human body data acquisition and analysis system according to a preferred embodiment of the present invention is shown. The human body data acquisition and analysis system may include a detection device and an electronic device, the detection device being communicatively coupled to the electronic device.
Specifically, the following steps are implemented according to the flow chart:
referring to fig. 2, the acquisition module in step 1 provided in the preferred embodiment of the present invention includes: the databases of different in-out and out-of quantity balance parties, a time database, different interdependence databases and various characteristics corresponding to the whole of the extracted individuals, families, units, social areas, nature and society form a database according to the mean value and standard deviation of the corresponding information of time and the separated characteristic value u, and the internal and external factors are distinguished; the access amount data comprises data acquired through an acquisition instrument and obtained through automatic operation, and a database is built after the selection of elimination and adoption: specifically, the automatic collocation is carried out according to the supply-demand relationship and the amphiprotic relationship to form a consumption database and a supplementary database. Furthermore, the cycle ratio of different totalities is collected, and the most common cycle ratio is celestial body operation cycle ratio, namely the time data which are common in modern times; and a process quantity at each cycle; further, the different dimensions are generated by automatic classification of the management system. Specifically, extraction of different dimensions corresponds to, for example: the individual, family, unit, social area, nature and society as individual or whole 'structure', 'energy' and 'work' various characteristics are formed into a 'database' according to the mean value and standard deviation of the corresponding data of the ratio generated by the periodic variation rule of the celestial body and the characteristic position dividing value u. And the general physical phenomenon characteristics which occur at each moment of the ratio generated by the corresponding celestial periodic variation law. And in this process, process quantity data of the structure, process quantity data of the energy and process quantity data of the work. For example, an individual's chemical and anatomical structure database may be reacted from physical examination report data; the personal energy database is collectable by an energy collector comprising: information acts on energy generated by a human body; the energy of human body in-out balance comprises: reaction energy, chemical energy, mechanical energy, and thermal energy; and the entropy increasing and decreasing data and the entropy increasing and decreasing change rate can be finally caused by the change rate; entropy increasing entropy and rhythmicity data and enthalpy change data; the database of the text Mate and the database of the media record group comprise rules and law data, and cultural, public order colloquial and moral data. The operation of the database can extract various knowledge in the substance civilization database and the mental civilization database through hyperlinks, including various discipline databases: a philosophy, science, technology database; the final classification creates the following databases, respectively, including: a human body gene library and a human body post-physical examination feature library; family culture characteristics library, family members composition and change database; a human unit cultural feature library, a human unit structure composition and change database; a database of natural and social cultural characteristics, natural and social structural composition and variation; the common physical phenomenon characteristics corresponding to the ratio generated by the periodic variation law of the celestial body. Furthermore, the general physical phenomenon characteristics caused by the periodic variation law of the celestial body are corresponded to form a database formed by the time-corresponded gene library, pregnancy library, family and human-unit society culture gene characteristics and the like. And the various data mean values, standard deviation and quantile characteristic values u form a database. The data are integrated, the data are extracted according to actual demands and stored and analyzed, and a practical talent database and a problem processing capacity database are evaluated; further forming a quality feature library.
Referring to fig. 3, a system for evaluating the precursor in step 2 according to a preferred embodiment of the present invention is provided: the individual congenital balance body is provided with energy and substances, and the energy and the substances are discharged out of the body through the individual congenital balance body to form relative stability; also, the group congenital provides energy and substances for the individuals and the group congenital provides energy and substances for the group congenital, and the energy and substances are discharged out of the body through the individual postbalance body and the group congenital balance body to form relative stability. Wherein the postnatal of the individual is provided to the individual congenitalEnergy and matter are deposited; the population congenital provides structure and function for the individual acquired; the acquired group provides resources for the congenital group; the relation between the parent body and the child body is an integral and individual relation, the balance of supply and demand is generated in the child body, and the average value and the variance of the parent body and the child body are respectively calculated according to the relative dynamic balance of the consumption amount and the supplementary amount of energy and substances; since the population is composed of a continuous distribution of individuals, there is a biased distribution of individuals to the population, and the expression of the overall effect of individuals is:wherein (1)>Is x n Supply effect on core->Is the individual need; expression of the overall reaction to an individual: / >Is the function of mutual demand restriction among all individuals generated in the whole; so that the sub-and parent diathesis characteristic, i.e. the split characteristic value +.>Or->Corresponding to the probability distribution, the confidence interval of the child in the parent can be determined and the probability range +.>Specifically, the successive modules are formed by the fact that the individuals are congenital parents, the groups are congenital parents and the groups are congenital parents: establishing probability ranges of consumption and supplementary intersection respectively through the consumption = supplementary input and output quantity balance principle; further, the probability as a parent is evaluated by a u-test or a t-test; examples: pair 2 0 Evaluation of external quality of individuals aged: get each mother body before and after pregnancyThe average value of various diets is obtained by multiplying the consumption and the heat card, the energy provided by the diets is obtained, the average value of the maternal urine and the excrement before and after pregnancy is obtained, and the characteristic quality is comprehensively evaluated. Pair 2 0 Evaluation of internal quality in individuals aged: analysis of progesterone, estrogen, etc., and evaluation of environmental and dietary contributions, i.e., satiety, is provided by the parent in the innate characteristics; by means of the evaluation of the contribution of progesterone, HCG, and maternal fetal uterus and umbilical artery and vein, the congenital environmental and dietary contribution can be evaluated.
Referring to fig. 4, in step 3 provided in the preferred embodiment of the present invention, the following is: the individual is subjected to various actions to produce different cycles, each cycle having a period, and the "dimensional time" is determined quantitatively by the ratio between them. Further, according to step 1, determining a period of each population in the database, evaluating the relationship of the parent and child by the period, wherein the period evaluation module: collecting the process quantity of the child from 0 to T, setting the process standard of the child as 1 in the process of the parent from T' to 0, namelyAfter n is rounded, the larger n is, the smaller the dimension of T is, and the higher the dimension of T' is; otherwise, the other way around. For example: in the solar system, the revolution period of the earth is 365 days, in the earth system, the revolution time of the moon is 28-29 days, and the rotation time of the earth is one day, so that the dimension time of the solar system is maximum, the dimension is the highest, and the dimension time of the earth system is the second, and the dimension is the next. The earth itself has the lowest dimension time and the lowest dimension. According to m respectively 0 、m 1 ...、m n Classifying; where n is determined by the ratio of the periods of mutual operation in the whole. Wherein the forces between the samples in different dimensions are +.>Force->Wherein c 1 Is the average value of one dimension higher, c 2 To be the average value of one dimension lower, the tension is obtainedForce->Range evaluation of "build" module: when the supply amount of the parent body is sufficient, the child consumption amount and the parent body supplement amount are balanced, and the balance body is derived from a Mother and mother The supply amount of the precursor is continuously and normally distributed, so that a concentrated trend is generated on the core axis of the precursor; with a biased distribution from the sub-body demand being unconnected, a discrete trend is generated perpendicular to the core axis; the two form a spiral ascending cone, and the matrix mean value mu is obtained in the system through combination of internal factor and external factor data and automatic operation Mother and mother Is->b Son In (a)Composition probability Range (mu) Mother and mother -u Mother and mother σ Son ,μ Mother and mother +u Mother and mother σ Son ) The intersection range "construct" of the parent and child balances is determined. Evaluation of the "balance" module: by a combination of μ and σ; the combination of the material and the energy forms probability distribution, and generates concentrated trend and discrete trend force, the two forces conform to conical curves, tension between any point and an elliptic focus with concentrated trend of tension generated by focus action and tension between hyperbolic focuses with discrete trend are balanced, and the balance body conforms to balance of various forces, so that square = elliptic long axis x hyperbolic real axis of focal length is generated; wherein the eccentricity e Ellipse X eccentricity e Hyperbola curve =1, forming a balance m; further, an evaluation of the force was performed: an interdiffusion force is generated between the internal factor and the external factor corresponding to the balance of consumption and supplement; as shown in fig. 4, the force formula in the wholeWherein l 1 Data for the formation of junctions for intrinsic cause, l 2 Forming data for the extrinsic factors that affect the junction; f (l) 1 ) As the endogenous probability, P (l) 2 ) Is exogenous probability, construct->Has the function of discrete trend, structure->Has the function of centralization trend. The internal cause provides interaction with the external cause and generates force +.>Junction module according to probability distribution function>σ 2 Is the overall variance. When l 1 For concentrating variable +.>The probability density of the time distribution is the largest; l (L) 2 The variation degree of each discrete sample is counted as discrete variables, if the discrete sample is set to be that the demand is possible pi, the non-discrete sample is not required to be 1-pi, and the probability of the occurrence of the demand is +.>
The further technical scheme is that the 'work' module on the balance body: the central trend is generated by the parent nucleus mandrel and the child body, and the writing force is generatedThe product of the shortest distance and the daughter is used for doing work W n Wherein n is that the parent or child is composed of n dimensional time points; further, is- >Wherein c 1 Is x n The focal point on the ellipse where μ, the central axis of the parent body corresponds to the place where the probability density is the largest, is taken as the target value of the focal point c 1 The method comprises the steps of carrying out a first treatment on the surface of the The maternal nuclear mandrel μ (i.e. focus c 1 ) Diffusion force with the daughter x, average diffusion force +.>Generating tension of a concentrated trend and a discrete trend; wherein the concentration trend is that the parent body works on the child body, expressed as +.>The discrete trend is the energy consumed by the precursor by the daughter, expressed in detail as "energy module" below. Further, in the coordinates, any point x is selected n Acting on two foci c 1 、c 2 The point is the relative action of the parent and daughter nucleus mandrel mu; an "energy" module: correspondingly, there is a discrete trend generated on the nuclear spindle from the child, probability distribution and automatic calculation are the same as the "work" module, except that the passage between child and parent with μ as the focus is formed ∈ ->Can be derived as "energy" with n samples x over both the daughter and parent cycles n Forms inscribed and circumscribed n-sided shapes, so that each energy body is energy E i Energy of the child consuming mother->The tension formed by the two forms a space between the dimensions of the parent body and the child body, and the internal and external factors are consistent with +.>For the limit, calculating the energy automatically by calculating the limit through the dimension time between the parent and the child, wherein an elliptic curve formed between the parent and the child energy between the dimension time accords with the law of conservation of energy; evaluation of junction module: the probability distribution forms a concentrated trend of the main factor in the inside and a discrete trend of the main factor in the outside, and the two are intersected into a 'junction' module: centering on the mean mu of the concentrated variables, mu being the focus of the ellipse, A constituent; the standard deviation u sigma of the discrete variable is the radius, forming a hyperbolic pass with mu as the focus>The energy is obtained by a period in time in each dimension, so the combination of the object and the energy is formed by taking the circular heart rate e as the reference point of the solid and gas combination of u to form (mu-e) Ellipse σ，μ+e Ellipse σ), which is the node of the probability distribution when u=1, the probability is 68.27%; in ellipses, we refer to concentrated efficient work, so called "volumes"; the circumference rate e=1 is parabolic, and is a balance body with a central trend balanced with a discrete trend, namely a solidifying point and a gasification point; can form three kinds of junctions of solid, liquid and gas which are defined by solidifying point and gasifying point and are commonly called as (mu-e) Hyperbola curve σ，μ+e Hyperbola curve Sigma), wherein (mu-e Hyperbola curve σ，μ-e Ellipse σ)∪(μ+e Ellipse σ，μ+e Hyperbola curve Sigma), we consider to produce a union of dynamic solid and gas junctions; we consider that circles (i.e. the two foci coincide) to μ -e Hyperbola curve Within σ, we consider that the space is small and the energy consumed by the parent is much, we call dynamic, also μ+e Hyperbola curve σ to the two foci are infinitely far apart, we consider that the mass is small and the space is large, we also refer to as static. Thus, by 2c=c 1 c 2 Hyperbolic focal length = elliptic focal length; at the same time e Hyperbola curve ×e Ellipse =1 is a balance, and "junction" evaluation was performed. The concentrated feature bit feature value u is a probability evaluation feature value u sigma, < >>Further, step 2-3 is as shown in FIG. 4: automatically generating, wherein the discrete action accords with a hyperbolic equation, and the concentrated action accords with an elliptic curve equation; a concentrated action a is equal to a discrete action b; automatic conversion is carried out: and proceed (a+b) n And (5) automatic operation. Specifically, (a+b) n Is a, b is a>The combination shows that the different combinations of the internal and external acting forces can lead the concentrated and discrete acting directions to generate different acting amounts, and after the resultant force amounts are orderedThe number arrangement is a natural number of 1-9, and when the natural number is expressed by different natural numbers, the natural number is filled into the nine boxes until the transformation data accords with the following rules, namely, the balance is achieved: a five-element balance body is formed at the center of each straight line and the diagonal line both when the straight lines are equal or the straight lines are different; at this time, the algorithm conforming to the golden section point reaches an equilibrium state, i.e., a hyperbola and an elliptic curve having the same focal length, the square of the focal length=the major axis of the ellipse×the real axis of the hyperbola.
Further, structural and functional modules are illustrated: the individual features include: an automatic congenital characteristic and acquired characteristic evaluation module: wherein the corresponding individual congenital feature evaluation has only one combination status: the zero dimension refers to the period from unshaped to formed, which can be measured and recorded; including both congenital structural assessment and congenital functional assessment during this period; the structural characteristics are as follows: corresponding ovum b Ovum With sperm a Sperm cell Combined and implantation, ultrasound B shows implantation and embryo development in the zero dimension; specifically, the congenital structure evaluation is compared with a reference system by forming a database of pregnancy libraries corresponding to the structural features according to time. The optimization process is continuously selected to establish a normal development library and a structural library as the participation system standard for the comparison.
Functional module: establishing a database through physical examination data, and taking a mean value from the database to extract a parent mean value mu as a target value of the child; the process of the development of the daughter from the fertilized egg to the fetus takes the maternal standard as a target value. The change of progestogen and estrogen promotes the formation of fetus, and the change of metabolism is continuously generated, which can be used as functional level and is compared with amniotic fluid and component level in each period; examples: the sheep water quantity is 50 ml at 12 weeks of gestation and 400 ml at 20 weeks and 1000-1500 ml at 36-38 weeks in the whole development process of human body daughter, and the sheep water quantity is slightly reduced near the expected period. During the period of 16-24 weeks of gestation, the fetal chromosome karyotype analysis and chromosome genetic disease diagnosis can be carried out, and the amniotic fluid cell DNA can also be used for gene disease diagnosis and metabolic disease diagnosis. The alpha fetoprotein in amniotic fluid can be measured, and the open neural tube deformity of a fetus can be diagnosed. The amniotic fluid puncture examination can be performed for 36-38 weeks to determine blood type, bilirubin, lecithin, sphingomyelin, placenta lactating, etc., and to know whether the maternal blood type is incompatible, hemolysis, fetal lung maturity, skin maturity, placenta function, etc. Performing function evaluation, wherein the normal level is acting; the abnormal level is energy consumption; further, by collecting the environmental supply amount, the dietary supply amount, the living state supply amount, and the intervention supply amount of the pregnant woman from the above levels, correlation analysis is performed by "fitting analysis" to compare them as an evaluation of the congenital function.
And (3) carrying out functional risk assessment on the weight of the risk factors corresponding to the functional structure.
Further, the internal and external factor data are evaluated, the acquired characteristic module is evaluated through each sample set and discrete acting force, and the module is combined with the following steps: the demand produces exogenous factors, which are random and discontinuous, P (b) Outer part ) Probability of being an exogenous factor. Generating an internal factor corresponding to the supply, wherein the internal factor is continuous, F (a Inner part ) Probability of being an internal cause; thus, an exogenous factor P (b) appears Outer part ) Probability of at most kIf the probability of at least k is +.>p ≤k (b Outer part ≤k)+p ≥k (b Outer part ≥k)＝1+p k The method comprises the steps of carrying out a first treatment on the surface of the Where pi is the probability of each demand result and 1-pi is the probability of each opposite result. Further, the continuous internal cause, formula ∈ ->F(a Inner part ) Wherein is a Inner part A) distribution function of (a) Inner part Is a continuous variable; the concentration and dispersion of the sample show a high-density to low-density diffusion force, so the probability F (a Inner part ) To P (b) Outer part ) Direction diffusion; correspondingly evaluating the classification of the 'knots' in combination with the conic sections generated by the data; gradually counting each exogenous sample b Outer part Variation into normal distribution, i.e. demand ≡Supply, i.e. replenishment≡consumption; during the continuous replenishment and consumption, individual physical examination data, family data, social structures and order are all changing, from men aged 2, 4, 8, 16, and so on; women are 7 years old, 14 years old, 28 years old, 35 years old, 42 years old, 49 years old, 98 years old, and so on; wherein, individual acquired feature library module: collecting physical examination data of an individual; assessing the structure and function of the individual as acquired features; determining a time segment as m 1 Dimension, m 2 Dimension, and so on to m n The structure and the process of the structure of the time period correspond to the structure and the function; further, the following structural features are provided: through the inner cause family b Household appliance Human unit a for external factor Unit (B) In combination with "constructs" which are characteristic of the acquired individuals of the parent, each member is censored for its condition and the physical examination of the development process is carried out during each cycle (a Feed device +b Is required to ) n Wherein a is Feed device For supplying, b Is required to For demand, when the supply and demand form focus to form focus, the supply and demand form ellipse, the supply and demand form hyperbola, we find that the concentration of demand is generated due to the effect of supply by human unit; the square of focal length = elliptic long axis x hyperbolic real axis is produced when the supply produced when the demand cannot be satisfied due to maldistribution produces dispersion; wherein the eccentricity e Ellipse X eccentricity e Hyperbola curve =1, reaching equilibrium state m; functional module: determining a normal family database and an individual growth and development database in a family, wherein the determination time is m n The standard of dimension corresponds to the database; carrying out correlation linear evaluation on diet, environment, living state and intervention measures, and evaluating the average value corresponding to the slope as a standard; wherein, the mean value of supply and the mean value of demand are respectively taken as two focuses, and the weights of the independent variables in the linear equation comprise: the elliptic areas formed by the two average values of the family database and the individual growth development database in the family are correspondingly called as 'work', and the better the regression, the less the consumption and the closer the work. The energy module is as follows: the amount of resources actually consumed by the acquired argument to reach the condition is called "energy", the worse the regression, the more the consumption and "energy" are, the more the function and the function are in line Elliptic and hyperbolic equations, the focal points of the two conic curves coincide to form a balance body.
Further, "construct" modules and "enable" modules; wherein at homeMember, and person unit->The staff and the building module are provided by families under the influence of human units, and specifically collect the environment of the families and the comfort level provided by facilities, and the building module is constructed as a defending structure in nature, such as nest, cave, house and other data. The "energy" is paid by the provider under the influence of the family for the user, specifically, the consumption of the user's staff and the members of the family where the staff is located is collected, and the energy module mainly represents "saturation" and includes the data of diet and income of the user's staff and the family where the staff is located obtained by the user's staff, and if the data are equal, the data is "work". Forming interaction of family members and staff in society, or consuming family energy by family members or consuming energy by staff; specifically, the ratio of the data obtained by the personnel from the staff to the diet and income of the family of the staff is X work; further, the parent contribution amount protection structure which is expanded into a form that any group has natural and social formation structures and energy forms;
Referring to fig. 5, a further technical solution provided for the preferred embodiment of the present invention is as follows: and an amphoteric characteristic module: according to the parent module in the step 2 and the structure and function module in the step 3, classifying data into A and B matrixes according to structures and functions in the same dimension; specifically, first, a A, B module evaluation is performed: performing linear evaluation, and performing weight correlation evaluation of each factor in the same dimension through a fitting analysis method; further, coupling the two linear factors, classifying the coupled factors into data A and B to form a A, B matrix; amphoteric evaluation module: evaluation was performed by means of a A, B two-matrix; forming individual amphiprotic, excessive amphiprotic from individual to group and group amphiprotic respectively; further, "conformation" formed by connotation and epitaxyThe method comprises the steps of determining the condition, respectively evaluating whether the functions of an amphoteric structure and the structure have a complementary relationship or not in different dimensions, and further, respectively evaluating the relationship between the amphoteric function and the function in different dimensions according to the 'work' and the 'energy' generated by the functions of internal factors and external factors as the standards of the previous dimension and the next dimension and whether the relationship has the complementary relationship or not; specifically, in the same dimension, when the module A is 'structure' and 'B is' structure ', the module A is' work 'and' B is 'work', the module A tends to form a concentration on the core trend of the upper dimension, and the module B tends to form a discrete trend of the standard deviation of the lower dimension, so that data acquisition is performed; classification energy, material, etc. And (3) performing matrix analysis: matrix a x B is-1, and matrix a x b=0 are mutually different; if positive, they are identical. According to the amphoteric module, or by multiplying the variation rate of the central trend with the variation rate of the discrete trend and the eccentricity e of the formed two conic curves, e Ellipse ×e Hyperbola curve 1; with reference to the ampholytic analysis, a complementarity assessment is performed, where when a+b≡0. Further, when A+B.apprxeq.0 is set toAs a "love" criterion, other data is compared to it. Examples: after the data are respectively classified, forming an A matrix and a B matrix for amphoteric evaluation; in different objects, different amphiprotic relations are generated, subject 2 0 —2 1 ，2 1 —2 2 ，2 2 —2 3 ，2 3 —2 4 ，2 4 —2 5 ，2 5 —2 6 ，2 6 —2 7 Age, correspond to different "body want" and "intend"; further, when the body desire data A+the body desire data B≡0, the body desire data A×the body desire data B≡1 is referred to as an ampholytic relationship.
Referring to fig. 5, a further technical solution provided in the preferred embodiment of the present invention is illustrated as follows: comprising the following steps: the structural and functional commonalities of the congenital and acquired features are represented by a family module, a friends module and an enemy module: collecting natural and social event data; the time period is established as a classification standard, respectively (a) Inner part +b Outer part ) 0 、(a Inner part +b Outer part ) 1 、(a Inner part +b Outer part ) 2 And so on until (a Inner part +b Outer part ) n The method comprises the steps of carrying out a first treatment on the surface of the Wherein, the congenital feature module: the structure module comprises: the "junction" modules evaluate as described above, intersect under the probability distribution of the internal and external factors described above, determine the dimensions (a Inner part +b Outer part ) 0 Is an congenital module, and is composed of an internal factor and an external factor (a Inner part +b Outer part ) 1 、(a Inner part +b Outer part ) 2 And so on until (a Inner part +b Outer part ) n When determining the dimension segment as (a) Society +b Natural nature ) 1 、(a Society +b Natural nature ) 2 And so on until (a Society +b Natural nature ) n For section b Natural nature Demand a Society Development and modification, contrary a Society Demand b Natural nature Is a resource for supply of (a) to the mobile station. Specifically, through the family's module: by dividing characteristic valuesOr->And carrying out correlation test to express a characteristic, wherein the average value of the internal and external factors is that the focus accords with an elliptic curve, and the smaller the variance is, the more outstanding the affinity module is. Further, referring to the maternal analysis, by mean μ of connotation and standard deviation σ data of extension, quantile of connotation is used when data comes from connotation, construction is completed by using an extension database when data comes from extension, and finally, variance alignment analysis of internal cause and external cause is performed. When the internal factor and external factor data distribution generate acting force, we perform love module evaluation: the amphoteric relationship is derived to be set as +.>As the standard of love, when A is the resource U required by the capability and B is the capability I for converting the resource, the love is converted into the characteristic resistance R consuming energy, two modes are formed in nature and society, one mode is that the capability I is the same, and the mode of mutual allocation R is called as "friend" Module, i.e. IR 1 +IR 2 +...+IR n ＝U Total (S) The method comprises the steps of carrying out a first treatment on the surface of the The other is that the resource U is fixed, and the competing allocation R mode is called an 'enemy' mode, namelyAcquired characteristics: the family module, enemy and friend are basic structural unit modules and are a pair of balance bodies; the eccentricity of ellipse and hyperbola are complementary, and are the overall balance effect of the distribution of relatives and friends. The enemy and friend love are the standard, and are a pair of balance bodies. The combination of friends and enemies forms a whole team to generate benefit exchange and competition to form a social union, which is two sides of normal distribution. Excessive formation or space, or excessive consumption. Wherein the resource is data of political, economic and cultural characteristics generated; and a work module: when the acquired data and the standard reach the maximum correlation, and the probability density corresponding to the average number is the maximum. In social and natural places, i.e. a family or a family, the highest efficiency is often produced as an estimate of "work", whereas a person unit just forms a hyperbola by the dividing action of enemy, friends, and balances the ellipse formed by the family or family action. For example, a person can complete XX work by a person's unit, a person's family can obtain XX income, both can develop XX nature, and make XX donations for society, showing contradiction between privacy and public. Both are based on eccentricity as the basis of evaluation. The energy module is as follows: further linear evaluation of natural and social environments, group supplies, group welfare and political interventions; the data of the supplied amount when the correlation is reached is subjected to energy evaluation, and the specific evaluation method comprises the following steps of: the larger the probability is, the more work is done, the higher the efficiency is, and the less energy is consumed; further, in the b nature attribute, the group, and the a social attribute, for the group, the society and nature are continuous data, and the data of the two are mutually distributed and spirally increased; reaching an equilibrium state; the group is used as a part of the nature to develop the nature and reform the nature to perform division work cooperation and competition; naturally, it is allocated to the population as a resource. Wherein, the extension and connotation formed according to the a natural attribute block and b social attribute block are infinitely corresponding to the timeliness formed by each action generation period The distribution of the constructed network is "structure" b Structure Modules, such as solar systems, form the earth's "structure"; functional module: setting a target project database by theoretical reasoning or common knowledge, and continuously optimizing to realize that the minimum resource trend provided by the crowd required by the project is aimed at 'work', such as a certain national role on the earth; in the process of realizing the project, the total amount of resources used by group competition and group interaction through utilization, defense, distribution, competition and the like is energy, and the minimum cost required for realizing the target value in the home country is called work in the process of realizing the project. Linear evaluation is carried out through natural and social environments, resource supply, resource consumption rules and intervention modes, further, correlation analysis is carried out on each correlation factor through a fitting analysis method, and social structures of independent variables are respectively noted; establishing a database, and performing one-to-one correspondence;
referring to fig. 6, a further technical solution provided in the preferred embodiment of the present invention is that the step 5) includes: an optimization module and a seven-emotion feature module: wherein, the optimization module: comprising the following steps: the system comprises an information data optimization module, an access amount data optimization module and a centralized and discrete change rate optimization module; wherein, the information data optimization module includes: defining the mean value of the direct information as the vision and the variance of the indirect information as the smell; the input/output data optimization module comprises: defining the intake data as appetite and the output data as color desire; the centralized and discrete change rate optimization module comprises: defining the rate of change of the concentrated data as intended and the rate of change of the discrete data as intended;
Further, the collection of the classified data can be optimized and selected, so that the threshold evaluation is performed, the threshold evaluation is gradually optimized along with the increase of the data, and specifically, the information data can set that the average information data quantity mu value of something corresponds to the maximum value of probability density, and the accuracy of the information data can be analyzed as the probability density corresponding to the average value of normal distribution of continuous data is larger; setting standard deviation information sigma value of certain object data to represent overall distribution state, respectively using probability analysis to summarize overall characteristics and using bit-dividing characteristic valueTo represent the mu value by +.>To represent sigma, e.g. vibrations generated by interactions of substances in space and probability density distribution information of the substances in space; further, the in-out amount data can collect interaction data and can be perceived through a probability diffusion force F, the amount is approximately equal to the amount to be input to form balance, and the evaluation is carried out through energy conservation and material conservation, and can be extended to evaluate the energy conservation and the material conservation, and the method specifically comprises the following steps: various energies generated by life state data, including chemical energy, mechanical energy, information energy, metabolism; further, the chemical energy is to collect calories of human diet evaluation, the mechanical energy is to collect energy consumed during activities in living state, the information is to collect energy saved or wasted due to information guidance, the metabolism is to collect energy expressed by human physique, and the weight analysis is to obtain Further, collecting access data; similarly, linear regression was performed on the input and output substances and energy, and the input and output properties were evaluated on independent variables balanced with each other. Further, the centralized and discrete change rate optimizing module can determine the dimension, and each dimension has a core axis and a dispersion, and takes the congenital (a+b) 0 In basic units, each dimension (a+b) n The ratio of the logarithm of (2) to the logarithm of the basic unit is called the dimension time, and in particular, when the equilibrium is reached by the supply and demand data, the dimension classification is carried out according to the ratio of the logarithm>General application of the last and the next dimension in the same dimension +.>To represent σ for evaluation; the ratio of the probability diffusion force from the upper dimension to the lower dimension relative to the dimension time between different dimensions is cold in human body,Sensory data such as heat, pain, touch, pressure and the like are input with 'body want' marks, and the marks are diffused to different perceptions, so that a hyperbolic equation is met; further, the target value is the probability density corresponding to the mean value of the previous dimension, and the quantile feature value is applied in the same dimension>To express that the dimension sense which can be classified is generated in the human body, namely ideal, intention and automatic data, and an 'intended' mark is input, so that the human body is concentrated towards the same perception and accords with an elliptic curve equation; standards exist for both discrete and centralized, specifically, standard modules: when the supply and demand data reach a balance body in the parent range, conical curve distribution is carried out by taking mean square and variance as standards, optimization is carried out, and two focuses are generated by the nuclear spindle in the upper dimension and the lower dimension; finally, the weight analysis is carried out by a fitting analysis method, namely +. >Performing weight analysis; by distribution of information, interaction, and entry and exit balance data, defensive, comfortable, and contending information sensations are defined, wherein comfort is consumption energy=supplement energy, defensive sensation when consumption energy is greater than supplement energy, and contending sensation when consumption energy is less than supplement energy;
seven-emotion module: is a manifestation of entropy increase, defining rhythms: is a time law according to the natural law; the rhythm is: a circulation process which is repeated repeatedly and regularly as a whole. Seven-emotion assessment by feel: after combining the information, energy and dimension, the total amount of released energy, the time of releasing and the rhythm of releasing are acquired or automatically estimated. So that the happy information appears, namely more energy, long energy duration and rhythm difference is defined as 'happiness', and the like, namely more energy, short energy duration and rhythm difference is defined as 'anger', the more energy, long energy duration and rhythm difference is defined as 'fun' by taking the sigh phenomenon as a standard, the more energy, long energy duration and rhythm good is defined as 'thought', the less energy, long energy duration and rhythm good is defined as 'sad', the less energy, short energy duration and rhythm good is defined as 'terror', and the energy is better than the energy The short-energy duration-cadence difference is defined as "frightening". Specifically, in an individual's state of life, energy is assessed by information and information metabolic balance, mechanical and mechanical metabolic balance, chemical and chemical metabolic balance. In particular, all the metabolism is evaluated,further, the method comprises the steps of,performing correlation analysis by a "fitting analysis method"; the independent variable +.>Inputting and carrying out dependent variable evaluation, and further carrying out release quantity, release mode and release rhythm, and generating the seven-emotion feature module by distribution combination;
referring to fig. 7, a further technical solution provided in the preferred embodiment of the present invention is that the step 6) includes: in the same coordinates, the acquired data are different, the expressed modules are different, and different precision and accuracy are reflected, and the method respectively comprises the following steps: the modules of the individual intelligence quotient and intelligence quotient, science and philosophy, and the moral law of the group; through setting coordinates, the collected continuous data are normally distributed on the coordinates to form concentrated and discrete trend evaluation; specifically, in one overall normal distribution, the normal distribution probability density corresponding to the mean value represents the intelligence quotient or science or germane at maximum, and in the different overall, the larger the probability density of the intersection represents the intelligence quotient or science or germane, the more accurate, so the probability density is called as 'accuracy'; in one ensemble, where the ensemble features are expressed directly, the probability is expressed, specifically, in the same ensemble, Or f=mb in different populations Inter-group /MB Within a group The larger the probability, the more accurate the representative of the intelligence quotient or philosophy or law, so the probability is called "accuracy"; wherein, when the object is an individual, if the organ collection information is taken as the abscissa, the sensory organs such as eyes, ears, nose and tongue are corresponding to cognition,summarizing the cognitive information into wisdom; the overall rational distribution characteristic is evaluated by the intelligence quotient. When the object is a group, if the culture is taken as the abscissa, each culture data corresponds to the knowledge and effect on the social value; the "De" is defined as the cultural position with the highest probability density, and corresponds to the maximum probability distribution as "value recognition and congruity", so that the meaning of the "De" is in accordance with the popular meaning of the public order, and the "De" is expressed as reasonable distribution. When the object is nature and society, if the nature and society phenomenon is taken as the abscissa, common regular characteristics of the nature and society phenomenon are extracted, and the common knowledge that the probability density is maximized, namely the repeated demonstration is reproducible is met, and the method is called science; the "appearance feature" which is a phenomenon that the overall similarity is abstracted and resonance can be generated is represented as a natural and socially reasonable distribution feature. For example: the intelligence of a person is always the overall judgment obtained by summarizing various information; a personal intelligence quotient is often a degree of overall confidence, i.e., a distribution skill. If a society can concentrate all the six sensations, a "collective value look" with a small distribution mean corresponding range and a high peak value is generated, so that the social interaction is expressed as a kind of sense, for example: the note Mu Gongshe child Zhou Xuanwang is "sense" because Zhou Xuanwang represents the data with the highest probability density represented by the overall value data at the mean, whereas the note Mu Gong child is biased. The more the six value views are dispersed, the larger the probability density distribution range is, but the lower the peak value is, the "democracy" is defined as "law"; examples: due to legal effects, thieves, right-of-person plagues and the like often appear; at the same time, the manager and the managed person are equal. Specific application of the specific combination of accuracy and precision of the population with the amphiprotic relation: the series connection of data is defined as "mutual aid" to indicate resultant force trend, and the parallel connection of data is defined as "competition" to indicate optimization trend; the distributed central trend combines data series connection and data close together, is defined as 'precious', and the distributed discrete trend converts series data into parallel connection, and parallel data into series connection, is defined as 'base'. Specifically, in a population, the total value is that certain specific properties show a curve The total area is covered under the line; the abscissa is six social evaluation effects, different value-viewing evaluation systems are different, and basically nodes are divided by probabilities of 99%,95%,90%,80% and 68.27%. And so on, the accuracy and the accuracy are combined with the specific application of the amphiprotic relation.
Referring to fig. 8, a further technical solution provided in the preferred embodiment of the present invention is the damage and repair module of step 7), wherein: comprising the following steps: a balanced definition module, a damage and repair module; wherein the balance definition includes: determining the period T of each dimension when it is subjected to the action of the upper dimension or the action of the lower dimension Upper part And T Lower part(s) The method comprises the steps of carrying out a first treatment on the surface of the Classifying by cycle; due to the effect of the upper dimension, a central trend is generated, and an elliptic curve is generated by taking the central axis mu as a focusWhen an elliptic eccentricity e is generated<1, last dimension focal length>Focal length in this dimension, elliptical area = work is defined as "work"; due to the action of the next dimension, a discrete trend is generated; the following hyperbola function with a dimension central axis as the focusAt the moment, eccentricity e>1, focal length of the dimension>The more the sum of the work done to produce the combined force of each sub-body is the next dimension focal length, defined as "energy"; the straight line passes- >Wherein the concentrated trend is a repair trend, the discrete trend is a damage trend, and the standardized coefficient P is calculated by evaluating the average value through the coefficient j The method comprises the steps of carrying out a first treatment on the surface of the Then, the correlation is evaluated by t-test, the independent variable is evaluated at the dependent variable by linear regression assuming the correlation probability>The greater the independent variable coefficient, the more dominant the factor is and the greater the contribution is; the closer the argument is to the normalization coefficientRepairing; otherwise, the damage is caused; focal length->The resulting tension is the tension of the two focal forces of the overall nuclear spindle in the up and down dimensions. Due to the action of the next dimension, a discrete trend is generated, and the standard coefficient is far away; hyperbolic effect, eccentricity e, produced with nuclear spindle as focus Hyperbola curve >1, a step of; the above-mentioned one-dimensional action can produce concentrated trend and elliptical action; force difference between two of these cancellation forces in ellipse of central tendency>Difference between two forces in hyperbola with discrete trend +.>Balance between->The equilibrium of the phase-generating phase-gram, namely, the concentrated trend is approximately equal to the discrete trend; the data meeting the above dimension is balance volume data. The probability range of the balance volume data occupying the previous dimension is a 'structure' range (mu) Last dimension of -uσ Next dimension of ，μ Last dimension of +uσ Next dimension of ) The method comprises the steps of carrying out a first treatment on the surface of the Determining whether the safety range is a 'structure' or not by carrying out correlation test; in the safety range, carrying out elliptic area operation, and evaluating work; by (mu-e) Hyperbola curve σ，μ+e Hyperbola curve Sigma), wherein (mu-e Hyperbola curve σ，μ+e Ellipse σ)∪(μ+e Ellipse σ，μ+e Hyperbola curve Sigma), to (mu-e) Ellipse σ，μ+e Ellipse Sigma) is used as a boundary, and the evaluation of a 'junction' is carried out, wherein a parabolic curve is used as a balance form, and further, the output (e) is generated Ellipse ×e Hyperbola curve Major axis a of =1 hyperbola Hyperbola curve With the major axis a of the ellipse Ellipse Exactly the focal length conforms to the concept of the golden section point, namely C 1 C 2 2 ＝a Hyperbola curve ×a Ellipse The method comprises the steps of carrying out a first treatment on the surface of the Further, converting e into a quantile characteristic value u asThe intersection point of damage and repair; further, an evaluation damage and repair module: determining the dimensions, further, converting from high dimensions to low dimensions,/->Changing the existing balance into a function damage trend; conversion from low to high dimension, ++>Changing the existing balance into a function repair trend. During the injury and repair process, the energy module is evaluated, a hyperbolic curve with μ as focal point is formed by +.>Setting the energy consumption to +.>As the outer edge length of regular polygon and +.>As the process of infinitely approaching the inner side length of the regular polygon, the limit is pi; the larger the "energy" generated, the greater the damage. Meanwhile, the range beyond the "structure" is damage. The high-dimensional mean value is a target value with low dimensionality, the restoration trend is a centralized trend, the input quantity is larger than the output quantity, and the 'structure' range is returned; the damage trend is a discrete trend, and the output is greater than the input, away from the "texture" range: the radius of the consumed material space is gradually reduced along with the increase of the dimension of the supplemented material space, the supplement is set to be concentrated to gradually spiral rise of the space under the interaction of the inside and the outside, and the limit is (1+1/n) n ＝e Natural log-log When the radius approaches zero infinitely, the ascending dimension of the spiral approaches infinity, and finally a straight line is formed, and the space is infinite. The method is characterized in that a balance body is used as a standard, a high-dimensional mean value is a low-dimensional target value, a restoration trend is a concentrated trend towards a high dimension, and a damage trend is a discrete trend towards a low dimension. Reaching equilibrium is defined as "healing". The assessment is automatically generated and displayed to the terminal module.
Please refer to fig. 7, which is a diagram of the present inventionA further technical solution provided by the present preferred embodiment is that in the step 8), the following steps are provided: the target feature module is used for obtaining the average value and the maximum probability density in the whole of different dimensions, and is used as the basis of cultural standards and defined as a gene; respectively establishing databases, including: a human body gene library and a human body physical examination library; family cultural characteristics library, family members composition and change; a human unit cultural feature library, a human unit structure composition and change; natural and social cultural feature library; further, natural and social structural composition and changes were evaluated. The cultural target with low dimension is used as a step back; conversely, the cultural goal of high dimension is taken as an improvement: specifically, collecting data, and determining the core quality in each dimension through steps 2 and 3 includes: at the individual and cell level, taking the individual genome and the family gene as the core as the progress basis; at the population level, taking a family genome and a human unit genome as cores as a step-back basis; at the civilization level, natural attribute and social attribute genes are taken as the core as the progress basis; specifically, the quantile feature value is evaluated And carrying out correlation test to determine whether the low dimension or the high dimension is suitable as a basis. Further, the total standard deviation of each dimension is evaluated, and a relatively high-dimension safety interval is determined through the reverse dimension probability and the confidence interval. Human intervention is performed according to the safety interval. And automatically outputting to the terminal.
Wherein, a family culture and gene module is selected and determined: carrying out correlation test on the characteristics of the person and the family; performing correlation test on the characteristics of the person and the person unit; further, according to the development change of the database simulation person, the development trend of the interaction of the culture and the genes is evaluated, and the intelligence quotient are evaluated; and evaluating the cultural development trend.
Wherein, select and determine a community area culture and gene module: carrying out correlation test on the characteristics of the family and communities; correlation test is carried out on the characteristics of the human units and the areas; further, simulating development changes of families and human institutions according to a database, carrying out development trend on the rule and common general knowledge, and evaluating law and moral; and evaluating the cultural development trend.
Wherein, select and determine a social and natural area culture and gene module: carrying out correlation test on the characteristics of the region and nature; carrying out relevance test on the characteristics of the area and society; further, according to the development change evaluation philosophy culture and scientific technology development evaluation of the database simulation nature and society, the culture development trend is evaluated. And outputting to a terminal module.
A further technical solution is that, in the step 9), the inheritance module: according to the above steps, developing from low dimension to high dimension, selecting and optimizing a family culture and gene module, selecting and optimizing a social region culture and gene module, selecting and optimizing a weight of a linear evaluation equation of a region culture and gene module, establishing learning professional talents corresponding to various databases, and establishing a learning talent database, comprising: a matter civilization database, a mental civilization database (further, classifying cultures into no-me, little-me and big-me cultures) and a practical talent database, evaluating the ability to deal with problems; and automatically making a inheritance plan and outputting the inheritance plan to a terminal module.
Wherein, evaluation of talent attributes: from the inheritance module: selecting and determining a family culture gene module, selecting and determining a social region culture gene module, selecting and determining a region culture gene module and performing linear evaluation equation weights according to the step 3, and establishing learning professional talents corresponding to various databases, including a learning talent database, including: a substance civilization database, a mental civilization database and a practical talent database; evaluating the ability to process the problem and establishing an expert database for a problem. Determining a target database, performing hyperlink or fuzzy search from the talent database, and analyzing according to each population: the missing talents are classified from the linear correlation equation, and then are evaluated according to the requirements: querying object features based on supply and demand relationships for the required congenital, acquired, and population; the problems to be solved are found out in a targeted manner from the equation of the balance body, objects with different advantages are selected, and the balance between the objects and the environment is used as a basis for evaluating resource waste and supplementing; including a balance of functions and structures; from the educational system, the problems to be solved, talents and establishment of a reasonable culture mechanism are found in a targeted manner, and the selection result is output to the terminal.
The invention is illustrated below for clarity, but the examples are not limiting.
According to step 2, further, by way of example: in the congenital characteristics of an individual, a fertilized egg grows in a mother body, the mother body is a supply and protection body of the fertilized egg, and the fertilized egg is correspondingly carried out by collecting data to form a database; in the individual acquired features, a child grows in a family, which is the child's mother; an adult works and lives in a human unit or family, which is the parent of the adult, and the adult corresponds to the human unit or family through collecting data to form a database; in the group congenital characteristics, the whole human unit or the family is taken as a child, so that the country for protecting and supporting the user is a parent, and the data are collected to correspond to each other and form a database; in the acquired characteristics of the group, the whole country is taken as a sub-body, the earth is a parent body, and the acquired data are used for corresponding and forming a database. Fertilized eggs have own genes, can be searched through a gene library, are simultaneously influenced by a parent body to grow and develop, and are developed and mature by taking the parent body as a part of the parent body, and are correspondingly formed through collecting data to form a database. The young children continue to grow as part of the family with the mother and father as the standard, and the data is collected to make a correspondence and form a database. Adults, a molecule of family and human institutions, are stabilized by the regulations of the family and institutions; wherein, the family and the personnel units are limited by local or national regulations, and the data are collected to be corresponding and form a database. The country is developing without the laws of nature and society. The latter is the precursor of the former and is the population. By applying the system formed by the invention, the data which is required to be displayed on the terminal can be automatically performed only by inputting the data.
Further, data is collected and classified management is performed by way of example: the data of fertilized eggs can be used for collecting genes, B ultrasonic images, antenatal physical examination and the like; the method can also collect social and natural environment data of individuals, diet, life state and intervention measure data, physical examination and medical record data; local laws and regulations can also be collected, and common knowledge; resource data can also be collected; there is also discipline expertise. And performs supply and demand, complementation, replenishment and consumption pairing. And collecting and optimizing the calculated result. And finally establishing a database.
Further, by way of example: by applying the system formed by the invention, the dimension evaluation can be automatically carried out only by inputting data, the minors and the families are two dimensions, and the families are high dimensions, so that the minors can reach the core goal of the families; meanwhile, the family cannot be lower than the core of the minors, such as the minors are not warm and have no sense of safety, namely the direction of the low-dimensional core, wherein the standard deviation is estimated by the requirements of the minors, the normal range is estimated by the average value of things or things in the family, and if the minors break, the death of the family is discrete; the minors realize the core goal of the family, analyze the thing data, take the thing or thing with the highest probability density as the core goal, the minors are healthy to grow around the core of the family. By using the system formed by the invention, the evaluation of structure and work can be automatically carried out layer by layer only by inputting data, and further, in the structure range, various acting forces such as the forces of schools and society act on the minors, so that the minors generate different states called 'knots' in families and are expressed as fat, thin and strong of the minors; psychological comparisons with population averages are either abnormal or normal; or the adaptation to social and natural changes can be reflected from the terminals of the system. The most ideal state is the real axis x long axis = focal length formed between concentration and dispersion 2 The balance body formed by the golden section; the process of the balance body is to convert the mother body, namely family, into the child body, namely minor, and convert the child body, namely minor, into the mother body, namely family, and evaluateThe family where the balance body is located is taken as the parent body. And displayed at the terminals of the system.
According to step 3, specific examples are: one person is made up of cells, each of which starts from a fertilized egg, and the transformation from fertilized egg to human cycle is ten months, and the fetus is born under the genetic interaction of the mother under the nourishing and protecting actions of the mother, and during this process, the "knots" and "structures" can be evaluated by data such as B-ultrasonic and assay. Juveniles grow continuously under the nourishing and protecting of a family and grow under the action of schools, society and surrounding relatives and neighbors, and the non-ingredient people are divided into 2 parts 1 、2 2 、2 3 About to 2 4 Age, it has independently progressed to the peripheral world. In the process, human body environment data, diet data, life state data and intervention data can be collected, text data processing is carried out on the matters, and the detailed description is given in patent 'an article analysis and self-demonstration method' authorization bulletin number CN110096710B; evaluating the average value of the probability density maximum value; the substances, energy and matters are standardized, and the interaction between the human body and the population is evaluated through the mean value. An adult needs to maintain home when finding or not finding a human unit, so that the human body grows continuously under the condition that the human unit is taken as the whole for nourishing and protecting; further, the human units are subjected to external forces, such as the double action of society and nature, and the energy, substance and matters of the human units are evaluated correspondingly, and so on; the detection period data and the dimension are determined continuously, and the periodic change is carried out. Thus, individual design is for health and group design is for management. Only then is an automated method and system provided for health management. The patent of the invention is displayed at the terminal of the system.
Specifically, the system automatically operates: in this process, dimension classification management is performed by natural logarithms, and the mean, and standard deviation are optimized in the same dimension. Averaging, and indexing feature values when the data is insufficientWhen the data amount is small, the probability range u is estimated to be about 70% with u being about 85% with 1.5 and u being about 95% with 2. With increasing data reaching the threshold, it is relatively accurately estimated that u is about 68.27% at 1, u is about 70% at 1.03, u is about 80% at 1.28, u is about 85% at 1.44, u is about 90% at 1.68, u is about 95% at 1.96, and u is about 99% at 2.58; according to dimension classification, taking the average value of the previous dimension as a target value of the next dimension; carrying out evaluation on work and structure by taking the variance of the next dimension as the range of the average separation of the previous dimension; for example by the invention patent: the minors, during the growth of a family, if the family's core strength is stronger, the minors will have a greater probability of having the family's characteristics in the future; families often have a popular form, such as Yan Xishan family training, which belongs to the popular form of families; minors always grow by taking the maximum probability density corresponding to the average number of families as a model and a sample; families are always on their own with the confidence interval corresponding to the least chance density of the underage protection—such as the least chance death in some families. This is because the weaker the minor, the greater the input to the household for that minor, representing poor separation from the household, indicating unstable household, and further, the weaker the death, indicating debilitation of the household, all of which are displayed at the terminals of the system, and so on. Similarly, the population is also this principle. The patent of the invention is displayed at the terminal of the system. The data are optimized respectively, and the work done by minors reaching the family goal and the energy consumed by the weakest member in maintenance are estimated; meanwhile, the action foundation provided by each family member in the family is protected, and when various acting forces are balanced, a balance body is generated. Similarly, the population is also this principle. Further, the balancing body module includes: consumption is approximately equal to the supplementary in-out balance; discrete trend approximately equal to central trend The patent of the invention is displayed at the terminal of the system.Typically we use the ratio of the determinants of the two interactions in the whole to reach equilibrium when the golden section point is reached, i.e. square of focal length = hyperbolic real axis x elliptical major axis. The structural range (mu) is determined based on the balance body Household appliance -uσ Individual body ，μ Household appliance +uσ Individual body ) The method comprises the steps of carrying out a first treatment on the surface of the Work is elliptical area; energy, i.e. the sum of individual consumption; the junction is divided into three states in the middle of five ranges according to the circumferential rate.
Further, according to step 4, by way of example of the patent of the invention: the male data a and female data B were evaluated for an amphoteric relationship, which, from an adult perspective, had physiological structural complementarity and hormonal complementarity. Taking 'work' and 'structure' as standards, when men and women are together, the core of the same family is formed; meanwhile, the two parts generate the weakest place demand protection; according to the principle of structure and structure, men tend to be protectors and women tend to be nurturing, the living states, diet, environment and human intervention of the men and the women are linearly evaluated, and the consumption body and the supplement body are evaluated through weights; the data of child-bearing and aggregation abilities of men and women to the cores of families are compared and evaluated with the optimized data through the protection abilities of men to the children, and the balance body generated by the balance action of various forces is the relatively stable family. Further, verification is performed, and data A and data B are matrix-multiplied, and if negative, the data are different, and if positive, the data are identical. It is clear that men and women are in line with this assessment. In particular, structural modules, structural and functional hybrid modules, functional modules, and sensory modules, respectively.
Structural module: classification and positive and negative correlation analysis are performed by chromosome and gene detection or male and female characteristics, and classification and positive and negative correlation analysis are performed by a combination of male and female families. The acquired data are displayed at the terminals of the system through the patent of the invention.
Structure and function hybrid module: the probability of the sex hormone is estimated through the evaluation of the hormone level, namely the estrogen level and the androgen level, and the probability of the sex hormone is estimated through the normal z interval, wherein the maximum value of probability density corresponding to the average value of the estrogen is taken as female; the maximum value of probability density corresponding to the androgen average value is male; hormone levels drive the structure toward a designated direction. By evaluating the change of a family, the complementarity of the two parties is most commonly generated according to the stability balance of the family. Through the capability complementarity assessment, the most common is interaction optimization. The acquired data are displayed at the terminals of the system through the patent of the invention.
Functional module: classifying and analyzing the characteristics of positive and negative correlation and the size of each contribution in the following formula; by fitting analysis and evaluation of the positive and negative correlation of the coefficients and the amphoteric relationship between contributions of similar magnitudes
Further, the linear equations always balance each variable in pairs, and the linear equations are balanced, so that the living state activities are large, the food consumption is correspondingly large, the environmental risk factors are low, the human intervention is low, the self contribution is high, and the linear equations are in accordance with +.>The female characteristics and the male characteristics are evaluated according to the corresponding value classification, so that the amphoteric effect can be evaluated; the work produced by the effect of each data on the mean can be applied to an individual as a focal point by the square of the elliptical area = (square of the long axis-square of the focal length) and the work produced by the concentrated effect. The coefficient data are displayed at the terminal of the system through the invention patent, and the sum of the two acting forces is a constant value, namely the evaluation of 'work'; when the difference between the two forces is constant, the "energy" is evaluated.
Sensory module: the external stimulus data with proper sense of vision, hearing, oxygen and carbon dioxide partial pressure difference sense, smell sense, taste sense and perception sense are subjected to energy analysis by using a standard unit value, the data are classified and arranged, the reaction time, the reaction range and the reaction activity of the data form matrixes, different individuals form different matrixes, and when the two groups of matrixes are multiplied to be negative, the matrixes are different; the smaller the two sets of matrix additions, the more "libido" matches; see in particular "environmental stimulus and object adaptation analysis system" grant bulletin number CN111653341B. The patent of the invention is displayed at the terminal of the system. And analyzing the trend characteristic of complementation or rejection.
According to step 5, further, by way of example of this patent: both a country and a person show a phenomenon of six desire and seven emotions; the six kinds of requirements are basically three kinds, one is that the energy for realizing the target value can be reduced through the information quantity, for example, when no trap is seen in front, the trap can fall down, and the energy consumption is caused by the white injury to bones; direct information is defined as visual and indirect information is defined as smell; respectively acquiring information data, evaluating the information data through the invention patent, and displaying the information data on a system terminal; secondly, the input and output quantity is actually the consumption quantity if the output quantity is defined as the color desire; the opposite intake is defined by appetite, which is essentially the supplement; the acquired data are displayed at the terminals of the system through the patent. Thirdly, the adaptation comprises the perception of the action of people on the environment and the action of the environment on the people, wherein the perception is a change rate, the perception of a core is defined as an intention, the random perception is defined as a body intention, and the acquired data is automatically calculated through the invention; the three types have a normal range, and six to-be-evaluated is performed under the lower limit of the normal range and above the upper limit of the normal range; the seven emotions of people are happiness, anger, grime, sadness, terrorism and surprise, which are problems of energy proportion, and the seven emotions comprise: how much energy is released, duration and rhythmicity. Wherein the information problem determines the degree of energy utilization and thus the amount of energy released; the in-out problem determines the energy circulation problem and thus the duration of the released energy; the adaptation problem determines the perceptibility of energy and thus the rhythm and rhythmicity problems. Examples: the happy process has laughing, even laughing and asthma without ascending qi, and also has dark and happy effect; "happiness" is the outward expiration, which means the process of expelling the internal heat of the body, and the time is long, but the respiration and heart rate are not always fixed rhythms; anger is a force of a momentary outbreak, nor is there a fixed rhythm, and so on, seven emotions are combinations of energy discharge, including rhythmicity, volume and discharge duration. The patent of the invention is displayed at the terminal of the system.
Further, as per step 6, the illustration of accuracy and precision, in particular, the collection of direct information seen by the eye is a collection of various specific information due to the probability density of the information quantity. Therefore, the common knowledge "intelligence" is a phenomenon that various information collected by sensing organs such as eyes, ears, nose and the like are concentrated together, so that the object is a person, and the information accuracy is defined as "intelligence quotient"; the common knowledge is that the combination of various spatial behaviors including perceived, listened and imagined information can produce an abstract characteristic as if standing high and looking far more in line with the overall characteristic and produce accuracy, so the accuracy of the information is defined as a "quotient" because the overall effect can be more comprehensive by summing up various information discrete at different angles. In a community of people as objects, the method is mainly characterized by distribution, namely resources are concentrated together for distribution; in the common general knowledge, the resources are fairly allocated by the common general knowledge, and the accuracy of the allocation is defined as the Germany; if the person is equal, the allocation of the noble base is not divided, and the accuracy of the allocation is defined as the law or the gauge. Further, it is common knowledge that things repeatedly confirmed by experiments are the most probability density, and are also the most accuracy defined as "science"; if the crossing disciplines are large, the crossing disciplines are often proved by multiple angles, and the crossing disciplines represent the whole abstract characteristics and are high in accuracy, so the crossing disciplines are defined as 'philosophy'. Thus, by data distribution it can be expressed that "precision and accuracy" has different expressions for different objects. The invention can display graphics on the system application EXCEL table terminal to express different concepts.
Further, according to step 7, damage and repair are standard, "equilibrium definition": the "balance" can be defined by conic curve to generate centripetal action under two actions, so<1, from low dimension to high dimensionDisplaying; generating a centrifugal effect, thus e>1, developing from high dimension to low dimension. Normally, the determination is made based on "work" and "structure". By way of example, the patent of the invention: the cancer is called injury because two problems occur, namely, an abnormality is automatically analyzed by a power module, and the power generated by data accumulation is far larger than the application range of work expressed by elliptical area and is consumed more than supplement, so that symptoms such as shortness of breath, hypodynamia and the like are shown; the structure is automatically analyzed by the structure module, so that the safety range born by the structure module is far more than that of optimal selection, and the structure module can be used for preventing cancer from infinitely expanding and various necrosis. The average value of the upper dimension, the average value of the lower dimension and the balance body are automatically determined through collecting data, and the upper dimension of the human body is a crowd, so that the normal range of the crowd is automatically generated as a trend for signing the health of the human body; the next dimension of the human body is an organ or a tissue cell, so that the normal range of the organ or the tissue cell is automatically generated to be used as the trend assessment for identifying the damage of the human body. By the invention, the damage and repair trend is automatically estimated, wherein the damage trend is an average value which is infinitely far away from the previous dimension and is close to the average value of the next dimension; the restoration trend is a trend that is infinitely close to the mean of the last dimension and far from the mean of the next dimension. The patent of the invention is displayed at the terminal of the system. Comprising the following steps: the type of junction, the extent of the structure, and the restoration of the balance body to a certain "structure" extent, including the distribution of the "structure" generated under various actions, is defined as "repair". Further, the function of damage and repair of the problem at the excessive stage of individuals and groups is taken as a core, and the patent of the invention collects data and determines basic units in the common general knowledge, for example: for natural people, a basic unit of society is a family or family with a dominant emotion, and a unit of social function for providing natural people with social resources is called a unit of person, "a unit of person" is a structure composed of a certain function. Further, the human functional module: collect the amount A of payroll, funds and benefits, the average value is Further collecting specific quantity B of temperature saturation with average value of +.>Further evaluation of the labor time given to the personnel unit by a certain employee and evaluation of the number of values C of the personnel unit according to the labor time, the average value is +.>Further, a +>Then there is a trend to repair some employee, +.>Then there is a tendency for injury to some employee; />There is a tendency to damage the human unit +.>Then there is a tendency to repair the human entity; in two different populations, the two effects produced are balanced. The intersection of the person's unit and the home dimension is a natural person, and guiding and educating staff with the home or person's unit as a cultural center. The invention can evaluate the personal discrete from high-dimension families and personnel units to low-dimension individuals; further, high dimension is applied to guide low dimension. Furthermore, the optimal low-dimension individual with repairability is selected by matching the actual requirement with the database, and the optimal low-dimension individual is defined as talents for people and displayed on the terminal of the system. Specifically, the database evaluates the natural logarithm of the dimension of each overall period, namely, the natural logarithm of the dimension is +.>Wherein T is Upper part For the last dimension period, T Lower part(s) For the next dimension period. Functional evaluation: the positions of the average numbers of people and family data are respectively used as focuses through the patent of the invention. In particular, the method comprises the steps of, Carrying out correlation analysis on each correlation factor by a fitting analysis method, and respectively noting the social structure; structural evaluation: the human unit is a division social structure formed by functions, and the family is a structure formed by family members' blood edges; the staff member is composed of family members, the value of the staff member is evaluated, and the decrease of the family members reflects the family management. Further, after the linear regression factor is evaluated, the family effect is evaluated, and natural people are taken as dependent variablesWherein, the natural people are influenced by family/family culture, are influenced by human unit culture, and have mutual assistance or competition relationship, thereby evaluating the damage or repair state of the family or family represented by the natural people; and so on, further, after the above linear regression factor evaluation, the human unit is further +.>Cultural, resource, fund and market in equation by normalizing coefficient P j The method comprises the steps of carrying out a first treatment on the surface of the Then, the correlation is evaluated by t-test, the independent variable is evaluated at the dependent variable by linear regression assuming the correlation probability>The greater the independent variable coefficient, the greater the dominant role of the factor; the closer the argument is to the normalization coefficient, the more repaired; otherwise, the damage is caused; the risk factor is evaluated, the factor dominance can be determined through linear evaluation equation coefficients, and specific factors are output; thereby finally evaluating damage and repair factors. The mutual assistance module and the competition mode are used for collecting data and evaluating trend: inputting market, cash flow, production data distribution, product and commodity data into the formula: / >Wherein E is E group market data and product and commodity data, and F is F group market data and product and commodity data; by at least one ofAnd (3) evaluating the mutual relation in the whole, namely evaluating the competition and mutual assistance modules: collecting production data distribution data and fund circulation data of the group E and the group F for evaluation, wherein the total production value is set as U Total (S) The value I can be expressed by exchanging the value into the average labor time in circulation, and then the production data distribution has a formula a 1 I+a 2 I+...+a n I＝U Total (S) Indicating a mutual grouping pattern, a 1 、a 2 、...a n The ability to produce products and change products to goods for different populations; further, in common knowledge, the average labor time may express a value, the total value I Total (S) Namely the conversion rate of the product and the commodity, the fund circulation exists in the formula->Indicating a contention mode. In the competition and mutual assistance module, the value brought by the supplementary labor time and the value generated by the labor time consumed in running reach a balance; or the total production value consumed during labor and the total supplementary production value reach the balance of a normal range, and the two balance objects tend to be in a healthy running mode; when unbalanced, the value of the object is balanced with the value brought by the environment and the resource of the object substance; further, the display is displayed on the terminal.
Further, by way of example: the problem of group damage and repair is that the dynamic balance caused by exchange among groups is well known, waste can be reduced by fully utilizing good information, the balance of access can be solved through the market, and the target phenomenon and the experience of society can be evaluated through the change rate of fund flow. Specifically, the data existing between the groups are roughly classified into information data, product and commodity data, external markets and experience data of intra-pair distribution change rates, wherein the external markets represent phenomena of planning and targeting, and the intra-pair distribution change rates represent social progress and civilization experience sense, and particularly, the group dependent variable is under certain environmental effectsIs thatInformation 1 is direct information; information 2 is indirect information. Wherein the central trend is repair, the discrete trend is damage, and the standardized coefficient P is calculated by evaluating the average value through the coefficient j The method comprises the steps of carrying out a first treatment on the surface of the Then, the correlation is evaluated by t-test, the independent variable is evaluated at the dependent variable by linear regression assuming the correlation probability>The greater the independent variable coefficient, the greater the dominant role of the factor; the closer the argument is to the normalization coefficient, the more repaired; otherwise, the damage is caused; this visual data can be used to form conic equations for evaluation.
According to step 8, by way of illustration, through the normal distribution of the input data generated by the EXCEL table, the intelligence quotient and the intelligence quotient of the natural person, the moral law in a certain social area and the science and philosophy in culture can be evaluated; and automatically outputting the data of the intelligence quotient, the intelligence law and the science and philosophy on the EXCEL chart according to the development change from small to large in dimension, and displaying the data on a terminal.
Further, it is not difficult to obtain on the EXCEL chart that the maximum probability density corresponding to the mean value is called "gene", wherein the cultural genetic module includes the substance civilization gene and the mental civilization gene. Substance civilization gene module: establishing a continuous investigation statistical database of markets, funds, production data, talents, products and commodities, unifying units, solving average values and variances, carrying out normal distribution, and evaluating probability density distribution, wherein the average value is called a place with the maximum probability density corresponding to a substance gene, and the distribution situation represents the whole substance situation; the mental genes are established, scientific, philosophy, technical and Germany law databases are established, units are unified, mean values and variances are obtained, normal distribution is carried out, wherein the mean values are called places with the highest probability density corresponding to the mental genes, and the distribution situation represents the whole mental situation; the average value and variance of the data in each dimension are further obtained by taking the genes of the substance civilization and the mental civilization as the guidance, and the method specifically comprises a human body gene library and a human body physical examination library; family culture characteristics library, family members composition and change database; a human unit cultural feature library, a human unit structure composition and change database; a natural and social cultural feature library, a natural and social structural composition and change database;
Further, by way of example: the gene trend module automatically evaluates, and particularly guides the trend of the next dimension to evaluate according to the last dimension, wherein the last dimension comprises: world view and methodology of value and science produced by nature. Firstly, the value I is extracted through scientifically developing energy and resource efficiency, quantifying environmental value contribution and value generated by nature; secondly, social state efficiency is improved through social education, social state value is quantized, and value I is extracted; the combination with such structures in homes and institutions creates scientific world views and methodologies; in particular, mainly includes legal and social convention for the text: the constitution and the land method are used for carrying out statistics on word probability, counting main guests as a central thought and extracting value I; randomly extracting one hundred moral value articles from media, carrying out word probability statistics by using the same method, combining the subject noun, the predicate verb and the object with the highest probability density, and counting the subject guest as a central thought, thereby obtaining a core value view and extracting a value I; here, "science" means a relatively correct one, and a reasonable one. With a common value I, a core generated by the last dimension constitutes a mutual whole for the overall resource.
Further, cultural inheritance characteristics: examples: the method comprises the steps of evaluating the public order colloquial evaluation of a village or a community in a family dimension, establishing subjects for inheritance in the last dimension and the next dimension, and establishing a talent database including German, intellectual learning and practical talents; the German education refers to education of popular orders, the popular orders are extracted and classified, a list and a form are established for learning the list, and the list is defined as a standard limit; wherein, the male order is popular and civilized: automatically determining a popular standard in the cultural characteristics: and selecting the cultural phenomenon with the highest probability density. Automatically determining a social order module: evaluating quantile eigenvalues in combination with their distributionThe probability analysis is carried out to derive social order, so that democratics and concentration are regulated and controlled; further, if demand optimization is performed, the discrete dominant social order is selected to be characterized as "democratic" in reality, and if demand collective power is selected to be concentrated, the dominant social order is selected to be characterized as "loyal" in reality. Wherein, intelligence learning type refers to education of science and expertise. The practice talents are education of expertise, education of technology and skills, and evaluation of the ability of things to be solved. The lover learning type refers to education of philosophy knowledge and determines correct answers in teaching courses; in the practice process, a target is determined, and a judgment standard based on the realization and non-realization of the target value is taken as a basic judgment standard; establishing a learning professional talent corresponding to various databases, further, specifically establishing a database, and determining whether the database is in a quantized standard or not through searching and corresponding by hyperlinks; expressing the degree of the awards received in different age periods.
Finally, individual physique, intelligence quotient and intelligence quotient characteristics are formed; scientific and philosophy characteristics and crowd characteristics of individuals; scientific and philosophy characteristics of the population; the de-and-law characteristics of the population;
according to step 9, for example, the environmental contribution amount, the self contribution amount, the running state contribution amount and the supply capacity contribution amount are combined to classify the adults, property and things into different data, namely, the different data are directly input into each functional requirement department, and automatic talent selection and combination are performed through hyperlinks;
further, the verification and talent selection module: according to our requirements, the requirements are entered at the ports. Under the guidance of the demand, firstly, carrying out periodic evaluation, determining the dimension, and then evaluating the total production value and the average social labor time as values. According to the competition and mutual group formulas, automatically evaluatingOr->Or->Indicating an increase in efficiency. The evaluation system is upgraded and if one of the three indicators is reversed, each process is restarted for error correction. The analysis method of error correction firstly carries out group acquired functional feature classification: taking exchange as a leading society, monitoring to obtain an independent variable X, and then calculating an average value, a variance and a split characteristic value u of the independent variable X; classifying to form different independent variables through correlation test; and (3) evaluating the weight of independent variables in the equation through a linear regression equation to analyze the distribution size and positive and negative correlation of different types of actions under the action of multiple factors, analyzing the correlation and the position of the quality through correlation test, and further correcting errors.
Evaluation of talent attributes: determining a target database, performing hyperlink or fuzzy search from the talent database, and evaluating according to requirements after classification: comprising the following steps: natural energy and resources owned by talents; basic consumption value of society; social education includes germany, road and professional assessment; wherein, the evaluation of the Germany: according to the cultural characteristics evaluation and classification, list classification is carried out, and demand correspondence and screening are carried out; evaluation of lanes: according to the evaluation of the physics and chemistry and philosophy, establishing a database, and according to the requirements of solving the problems according to the requirements, screening corresponding to the requirements; professional evaluation: the evaluation is performed through education, achievements and practices, wherein the success or failure of the practices is used as a standard, and the correct answers of the database are used as a standard. If the database is not available, taking the preset target value as a standard;
culturing talents: establishing a talent database according to the method in the step 9, and searching a preset target value in the database; the query basis is: required congenital, acquired and group characteristics; the problems to be solved are found out in a targeted manner from the balance equation, objects with different advantages are selected, and the balance of the objects and the environment is used as an evaluation basis; including function, structure, and balance of concentration and dispersion; from the education system, the problems to be solved and talents are found out in a targeted way, a reasonable culture mechanism is established, and a selection result is output to the terminal.
Furthermore, the collected data, the analyzed data and the data for solving the problems are combined with the existing database to form an intelligent analysis system for optimizing the database; finally, each item of data evaluation is compared with a database, the error part in the database is corrected, and the database is used for guiding practice; ("Intelligent learning media interaction analysis method and device" application number or patent number 201711069861.5.) and displaying the analysis result. The specific content displayed comprises the following steps: displaying a specific object on a terminal, and classifying the characteristics of specific acting force, period, dimension, structure and function generated between the specific object and the terminal; performing maternal, amphoteric, injury and repair characteristics and adaptability evaluation, and performing sexual relevance evaluation; carrying out positive and negative and standard coefficient evaluation on the contribution value of each factor by a fitting analysis method; independent variable and dependent variable evaluation are carried out, and factor adjustment is carried out to change the abnormal condition of the dependent variable; determining the composition of the precision and accuracy represented by the various global profiles; selecting a gene, a inheritance mode and an education mode, and selecting and culturing talents; and outputs the above-described various features at the terminal.
Although the application has been described herein with reference to a number of illustrative embodiments thereof, it should be understood that numerous other modifications and embodiments can be devised by those skilled in the art that will fall within the scope and spirit of the principles of this disclosure. More specifically, various variations and modifications may be made to the component parts or arrangements of the subject combination arrangement within the scope of the present disclosure, the drawings and the claims. In addition to variations and modifications in the component parts or arrangements, other uses will be apparent to those skilled in the art.
Claims (10)
1. A method for object feature assessment based on supply and demand relationships, comprising the steps of:
s1, establishing a database, and evaluating the parent supply quantity characteristics of each dimension;
s2, evaluating the structure, period and function under the action of a parent body;
s3, evaluating the relation characteristics of two linear regression equations through a conic equation formed by points where straight lines of the linear regression evaluation equations intersect; and evaluating the circulation characteristics at each stage and performing amphoteric evaluation;
s4, evaluating seven-emotion characteristics of different data optimization modules and individuals;
S5, determining the precision and accuracy characteristics of different stages;
s6, evaluating damage and repair aiming at the correlation between the population and the individual;
s7, evaluating characteristic quality genes, wherein the characteristic quality genes comprise average values corresponding to individual and even group data, the average values of the above dimensions evaluate genes of the next dimension corresponding to the maximum probability density of the data, and the possibility of development of the next dimension is evaluated.
S8, evaluating characteristic quality applications including inheritance and talent selection evaluation;
s9, automatically selecting quality characteristics and selecting and pulling by people according to supply and demand relations under the comprehensive factors of individual and group characteristics.
2. A method of object feature assessment based on supply and demand relationships according to claim 1, wherein: in the step S1, a database is established, and the characteristic evaluation of the parent supply quantity is carried out, wherein the specific steps are as follows: collecting an internal factor and external factor database, collecting process quantity and structure process quantity data of an knot, collecting data in the embryo development process, collecting physical examination data and spirit and life state data of an individual, corresponding to common physical phenomenon characteristics caused by time and celestial periodic variation rules, correspondingly extracting various characteristics of the individual, family, unit, social area, nature and society, forming a database according to the mean value and standard deviation of time corresponding information, establishing a probability range of consumption and supplementary intersection, and evaluating the supply and demand relationship of a child body as a balance body and a parent body according to an input and output quantity balance principle of the consumption equal to the supplement; wherein, supplies are automatically classified according to the supply of the parent which is the congenital of the individual by the postnatal of the individual, the supply of the parent which is the acquired of the individual by the congenital of the group, and the supply of the parent which is the congenital of the group by the postnatal of the group; the demands are automatically classified according to the needs of the individuals with the congenital sub-body, the needs of the individuals with the acquired sub-body and the needs of the groups with the acquired sub-body.
3. A method of object feature assessment based on supply and demand relationships according to claim 1, wherein: in the step S2, the structure, period and function are evaluated under the action of the parent substance, specifically: according to the principle that the focus is the average value of the population, respectively passing through two population average value points, and conforming between the dependent variable and the independent variable by applying a fitting analysis methodThe points at which the two linear regression evaluation equations intersect form a curve; according to the balance principle that the consumption is equal to the supplementary input and output quantity, the sub-body is evaluated as a balance body, and a 'knot' module is obtained from the internal factor and the external factor of the sub-body; the "junction" module is a distributed state, determined by the subinternal factors, evaluating b Outer part The probability of occurrence of a random need of at most k is P.ltoreq.k, wherein +.>If the probability of at least k is P.gtoreq.k, wherein +.>P(b Outer part ) B is Outer part Is a data bias distribution function of (1); a, a Inner part For continuous supply, the probability F (a) is increased by diffusion from high density to low density Inner part ) To P (b) Outer part ) Directional diffusion, formulaF(a Inner part ) Is a as Inner part A) data normal distribution function of (a) Inner part Is a continuous variable; f (a) Inner part ) And P (b) Outer part ) Formed functionDetermining the two overall synthesized automatic forming patterns of normal distribution and bias distribution as a junction; if the curve is constructed, the junction corresponds to this cancellation >Alternatively, y 2 =2px or x 2 =2py equilibrium state, or conform toThese three morphologies are referred to as junction tristate, respectively;
the "structural" module is the range of the "knot" and is determined by the parent exogenous factor and endogenous factor a Inner part Is a continuous normal distribution, the average value mu Inner part And exogenous cause b Outer part For discontinuous bias distribution, standard deviationThe composition is within the probability range (μ) of "composition Inner part -u Inner part σ Outer part ，μ Inner part +u Inner part σ Outer part ) Internally distributing, and solving the area of a conical curve, wherein the closed elliptic area f=ab, and solving the limit on the areas of a hyperbola and a parabola;
cycle: according to the conic curve, collecting the process quantity of the knots generated by the internal factors of the subvolumes from 0 to 1 as the period of the conic curve, and taking the individual as the parent of the subvolumes between the subvolumes and the parent; the periods of maternal formation as the maternal of the individual are opposite and identical, the whole period T runs out 0-2 pi, i.e. the whole elliptical area, i.e. mt=2mf, f is the elliptical area ab; ellipseAngular momentum M conservation in the overall process of the equation and glancing speed +.>The following relationship is provided: />Cycle time
The functions are as follows: determining the classification of the upper dimension and the lower dimension from the period, taking the average value of the upper dimension as a focus forming standard, wherein the lowest consumption for realizing the standard is 'work', and the specific expression is 'elliptic area', namely ellipse f=ab; and the highest efficiency is the power " All the consumption including "work" in this process is collectively referred to as "energy";
and corresponding the acquired data, and evaluating the congenital features and the acquired features of the individuals and the groups according to three factors of a structure, a period and a function.
4. A method of object feature assessment based on supply and demand relationships according to claim 1, wherein: step S3, evaluating the relation characteristics of two linear regression equations through a conic equation formed by points where the straight lines of the linear regression evaluation equations intersect; and evaluating the circulation characteristics at each stage and performing amphoteric evaluation; when the periodic evaluation is in the same dimension, the linear evaluation is further carried out on the data x and y according to the structural data x and the functional data y, the independent variables in x and y are subjected to correlation evaluation through a fitting analysis method, weights are given to all factors, and A, B groups of classifications are determined for the mutual balance factors; classifying the data into a matrix A and a matrix B; then evaluating through A, B two matrixes, and respectively forming the amphiprotic of the individual, the amphiprotic of the excessive population from the individual and the amphiprotic of the population according to the period; when matrix A+matrix B is approximately 0, i.eMatrix A×matrix B-1, the complementarity is evaluated +.>Wherein M is 1 ＝A 11 (B 12 -B 22 ),M 2 ＝(A 11 +A 12 )B 22 ，M 3 ＝(A 21 +A 22 )B 11 ，M 4 ＝A 22 (B 21 -B 11 )，M 5 ＝(A 11 +A 22 )(B 11 +B 22 )，M 6 ＝(A 12 -A 22 )(B 21 +B 22 )M 6 ，M 7 ＝(A 11 -A 21 )(B 11 +B 12 )M 7 。
5. A method of object feature assessment based on supply and demand relationships according to claim 1, wherein: in the step S4, for the data optimization module and the seven-emotion feature evaluation of the individual, the data optimization module performs optimization according to the data classified according to the collected data expression form, and includes: the system comprises an information data optimization module, an access amount data optimization module and a centralized and discrete change rate optimization module; the information data optimization module comprises: specifically, defining the mean value of direct information as the desire, and performing u-test or t-test; defining the variance of indirect information as smell, and performing F test; the input/output data optimization module comprises: defining the intake data as appetite and the output data as color desire; the centralized and discrete change rate optimization module comprises: defining the rate of change of the concentrated data as intended and the rate of change of the discrete data as intended; threshold evaluation is carried out on the data, and the data is gradually optimized along with the increase of the data;
For the vision, setting the average information data quantity mu value of something to correspond to the maximum value of probability density; setting standard deviation information quantity sigma value of something data to correspond to the whole distribution state by using quantileTo indicate the evaluation to be performed;
for smell, the data are grouped and the mean deviation SS is determined, usingTo indicate the smell to evaluate;
for appetite and color desire, the input and output data are collected and interacted data are perceived through probability diffusion force F, the input quantity is approximately equal to form a balance body, the input quantity is approximately equal to form the balance body as an individual, and y 2 =2px; in the junction module, besides the balance body, there are two conical curve acting forces, when the supply is over demand, the appetite is estimatedAssessing color desire when supply is inadequate
For body desire, each population has a core axis and dispersion, and data which does not take the core axis as an external factor is approximately equal to the external factor, so that the deviation average difference is larger; generating an average value by taking the data of the nuclear mandrel as a reference and the inner factor of the data; data x of the inner and outer causes Inner part And x Outer part The endogenous action brings the core 1 into proximity, i.eThe exogenous effect increases the distance, i.e. +.>Determination of the global data x of an congenital basic sample Total 0 And find the mean +.>Taking the period of internal and external causes- >Set as congenital T 0 Is a basic unit; further, the dimension is determined, and the overall data X is set Total (S) And find the mean +.>Taking the period of internal and external causes->Every dimension period +.>Time->When->At the time of limit->Dimensions are relative, each dimension = lnT, where ln is the natural logarithm underlying e and T is the period; setting lnT 0 The dimension is a basic dimension, and the quantized value of the dimension is lnt; collecting different data, and defining the feeling data of coldness, heat, pain, touch, pressure and the like in a human body as body desire relative to the ratio of the diffusion force from the upper dimension to the lower dimension to the time between the different dimensions;
for the purpose of intention, when the target value is the probability density corresponding to the mean value of the upper dimension, dimension feeling which can be classified is generated in the human body, and the data which is shown as ideal, intention and automatic in the human body is defined as 'intention' relative to the ratio of the diffusion force of the lower dimension to the upper dimension between different dimensions; generating two focuses by the nuclear spindle of the upper dimension and the lower dimension;
for the data optimization module, the weight analysis is carried out by a fitting analysis method, namelyThe distribution of data is carried out through information, access balance and interaction, defensive, comfortable and contending information sense is defined, when consumption energy is larger than complementary energy, the feeling of contending is generated when supply and shortage are required, and when the consumption energy is smaller than complementary energy, the feeling of defending is generated when supply and shortage are required; wherein the method comprises the steps of
Hyperbolic curve comfortable in equilibrium state, i.e. supply and demand, and elliptic eccentricity e of supply and demand Hyperbola curve ×e Ellipse ＝ 1 When the balance state is reached.
Seven-emotion feature assessment: after the information data, the interaction data and the input and output data of six subjects are combined in pairs, according to the information and information metabolism balance, the mechanical and mechanical metabolism balance and the chemical and chemical metabolism balance in the living state of the individual, all metabolism can produce release quantityCorrelation analysis by fitting analysis to determine the dependent variable +.>Will->Combining with time to form eight combination modes, namely release amount data, release mode data and release rhythm data, which are called seven-emotion characteristics;
the entropy increase and the enthalpy change are evaluated: dependent variableFor entropy increase, the state of entropy increase is changed by adjusting the enthalpy change,
6. a supply and demand based system according to claim 1The object feature evaluation method of the relationship is characterized in that: in the step S5, the accuracy and the precision are evaluated, specifically, in the same coordinates, the collected data are set to coordinates through an EXCEL table, and the collected continuous data are normally distributed on the coordinates to form concentrated and discrete trend evaluation; specifically, in the normal distribution, the probability density of the normal distribution corresponding to the mean value is the largest, and the accuracy is the highest; The larger the probability range, the larger the accuracy; specifically, the expression is respectively expressed according to the individual, population and subject data of nature through an EXCEL table: the intelligence quotient and intelligence quotient module, the Germany and law module and the science and philosophy module of the group of individuals;
intelligence quotient and intelligence quotient assessment: evaluating a normal distribution map formed by various perceived continuous information data of the individual; the higher the accuracy, the more intelligence; the higher the accuracy, the more the intelligence quotient;
and D, a Germany and method module: designing coordinate axes, wherein the abscissa is a set of each regulation system, the ordinate is a crossed public order colloquial, and a normal distribution map is formed through cultural continuous data for evaluation; the precision conforming to the popular sequence is called De; accuracy in compliance with crossing regulations, expressed as fairness features, is known as law;
scientific and philosophy module: in the design coordinate axis, the abscissa is a continuous data set of each subject through practice and observation, and the ordinate is an intersecting subject, so that a normal distribution diagram is formed for evaluation; the accuracy of the distribution that meets the maximization of the probability density of repeatability is called science; the accuracy of conforming to the characteristic probability range across the families is called philosophy.
7. A method of object feature assessment based on supply and demand relationships according to claim 1, wherein: the damage and repair assessment in the step S6 is specifically as follows: determining the period generated by the action of the upper dimension or the action of the lower dimension of each dimension, and classifying the periods; due to the effect of the upper dimension, a central trend is generated, and an ellipse is generated by taking the core axis mu as a focus Action of the curve, eccentricity e Ellipse <1 focal lengthTension for any data to the two focal forces of the core axis, where the last dimension radius>The dimension radius. Due to the action of the next dimension, a discrete trend is generated; hyperbolic effect, eccentricity e, produced with nuclear spindle as focus Hyperbola curve >1, focal length->Tension for any data to the two forces of the core shaft; wherein the dimension radius>The radius of the next dimension; two force differences between two of these in the ellipse of the central tendency +.>Difference between two forces in hyperbola with discrete trend +.>Balance between->The equilibrium of the phase-generating phase-gram, namely, the concentrated trend is approximately equal to the discrete trend; the data meeting the above dimension is balance data; the probability range of the balance volume data occupying the previous dimension is a 'structure' range (mu) Last dimension of -u Last dimension of σ Next dimension of ，μ Last dimension of +u Last dimension of σ Next dimension of ) The method comprises the steps of carrying out a first treatment on the surface of the In this range, a yield of ε is generated Ellipse ×e Hyperbola curve Real axis a of =1 hyperbola Hyperbola curve With the major axis a of the ellipse Ellipse Exactly matching the focal length with the concept of golden separation point, i.e. C 1 C 2 2 ＝a Hyperbola curve ×a Ellipse ；
Evaluation of damage and repair: determining the dimension, converting from high dimension to low dimension, Changing the existing balance into functional injury; conversion from low to high dimension, ++>Changing the existing balance into function repair; the extent beyond "conformation" is injury; the high-dimensional mean value is a low-dimensional target value, the restoration is a centralized trend, the input quantity is larger than the output quantity, and the 'structure' range is returned; damage is a discrete trend, with greater output than input, away from the "constitutive" range.
8. A method of object feature assessment based on supply and demand relationships according to claim 1, wherein: the gene module in the step S7: determining genes in each dimension, and obtaining a mean value and a maximum probability density in the whole of different dimensions as a gene target with low dimension; evaluating the total standard deviation of each dimension, determining the characteristic of the dimension, wherein the characteristic of the dimension is characterized by taking the mean mu as a standard and dividing the characteristic valueRepresenting the similarity of the probability as the intrinsic feature to evaluate in the high-dimension probability feature;
8.1, collecting data and establishing a database. Determining the core quality of the low dimension through the high dimension average in each dimension; further, the probability range of the high-dimensional structure is determined through the low-dimensional confidence interval. Respectively establishing databases, including: a human body gene library and a human body physical examination library; family culture characteristics library, family members composition and change database; a human unit cultural feature library, a human unit structure composition and change database; a natural and social cultural feature library, a natural and social structural composition and change database;
8.2 selecting and determining gene modules and evaluating probability ranges of their similarity, respectively: wherein, a family culture and gene module: carrying out correlation test on the characteristics of the person and the family through a linear regression equation; performing correlation test on the characteristics of the person and the person unit; furthermore, the culture and genes are taken as development trends according to the development changes of the database simulation people; and evaluating family culture and individual development. The probability range of similarity is evaluated by dividing the eigenvalue u, where the genericity is represented by the slope of the independent variable of the linear regression evaluation equation and corresponds to the mean.
Wherein, a social area culture and gene module: carrying out correlation test on the characteristics of families and the cultural cores of the social areas through a linear regression equation; carrying out correlation test on the characteristics of the personnel unit and the social area culture; further, simulating development changes of families and human units according to the database, wherein the culture and genes (including the rules and the common sense) are taken as development trends; the social area culture is evaluated with the development of families or persons. The probability range of similarity is evaluated by dividing the eigenvalue u, where the genericity is represented by the slope of the independent variable of the linear regression evaluation equation and corresponds to the mean.
Wherein, a regional culture and gene module: carrying out correlation test on the characteristics of the region and the social and natural cores through a linear regression equation; carrying out correlation test on the social characteristics of the region and the social and natural cores; further, simulating development changes of nature and society according to the database to evaluate the civilization genes as development trends; and (3) evaluating culture and regional development evaluation of the development of the philosophy culture and science technology, wherein the genetics are represented by the slope of independent variables of a linear regression evaluation equation and correspond to the mean value.
9. A method of object feature assessment based on supply and demand relationships according to claim 1, wherein: in the step S9, the input requirement is used as a standard, the modules are compared with the requirement standard according to the average value, the modules are matched with one another to form a preferred module, and the modules are not matched with one another to form an exclusion module; in the optimization module, automatically outputting talent individuals and the selection and culture module;
9.1, inputting demand data to establish data population, and solving a population mean value and a standard deviation; the preferred module is selected by correlation verification.
9.2, carrying out the weight of a linear evaluation equation according to the mean value and standard deviation of the population established by the demand data, establishing a learning professional talent individual corresponding to various databases, and establishing a learning talent database, wherein the method comprises the following steps: a substance civilization database, a mental civilization database and a practical talent individual database; if talent individuals can solve the problem of the whole demand, the talent is called a capability database for processing the problem;
9.3 evaluation of talents and community attributes: hyperlinking or fuzzy searching is carried out on keywords in the target database, talents and community databases, and weights of defects are evaluated after classification are selected from linear correlation regression equations according to the types of the missing talents or communities analyzed in each population: inquiring the defect basis as the required quality characteristics; from the balance equation of claim 7, the damage and repair problems are found, the problems to be solved are determined in a targeted manner, objects with different advantages are selected, and the balance between the objects and the environment is used as the basis for evaluating the damage and repair problems and intervening; including a balance of functions and structures; from the education system, the problems to be solved and talents are found out in a targeted way, a reasonable culture mechanism is established, and a selection result is output to the terminal.
10. A method of object feature assessment based on supply and demand relationships according to any one of claims 1 to 9, wherein: the system corresponding to the method comprises an acquisition module (102), a storage module (104), a management module (106), an analysis module (108), a communication link (1010) and a terminal module (1012);
the acquisition module (102) is used for acquiring an internal factor and external factor database, acquiring process quantity and process quantity data of structures, acquiring data in the embryo development process, acquiring physical examination data and spirit and life state data of an individual, and correspondingly extracting common physical phenomenon characteristics caused by periodic change rules of the time and celestial bodies, wherein the common physical phenomenon characteristics correspond to the average value and standard deviation of various characteristics of the extracted individual, family, unit, social area, nature and society according to time corresponding information, so as to form a database;
The storage module (104) is used for storing the data acquired by the acquisition module (102), all or part of the data analyzed by the analysis module (108) and the program code;
the management module (106) is used for classifying and extracting the data in the storage module (104) and obtaining a plurality of module data through classification;
the analysis module (108) comprises: parent feature modules of each dimension; evaluating the structure, period and function modules, and the effort module, and the individual and population feature modules, both including congenital and acquired features, under maternal action; evaluating the circulation characteristics at each stage and performing an amphoteric evaluation module; the device comprises an optimization module of different data and a seven-emotion feature module of an individual; the precision and accuracy feature modules of different stages; a balancing, damaging and repairing module;
and evaluating characteristic quality genes, wherein the evaluation comprises an average value corresponding to individual and even group data, the average value of the above dimension evaluates the genes of the next dimension and evaluates the possibility of the development of the next dimension, and the average value of the above dimension corresponds to the maximum probability density of the data. The characteristic quality evaluation module; designing a inheritance assessment module; finally, according to the supply and demand relation, an automatic selection quality characteristic module is established under the comprehensive factors of the individual and group characteristics;
The communication link (1010) is a communication module, and data transmission is carried out among the modules through the communication link (1010);
the terminal module (1012) is used for receiving and displaying target data and analysis results, displaying evaluation results of object environment adaptability and displaying evaluation results of intervention methods and modes.
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