CN105956968A - Artificial intelligent college entrance examination voluntary reporting system and method - Google Patents
Artificial intelligent college entrance examination voluntary reporting system and method Download PDFInfo
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Abstract
The invention discloses an artificial intelligent college entrance examination voluntary reporting system. The system comprises an automatic data acquisition device EADH, a college entrance examination big data knowledge database CDKB, a depth convolution neural network perception assembly DCNA, a depth convolution neural network weight assembly, a depth convolution neural network analysis assembly DCNS, a rapid Monte Carlo search tree optimization MROP, a college entrance examination strategy optimization model CSOM, an automatic college entrance examination voluntary reporting form generator AFAG, a user operation interface, a background management module, a college and major information query module, a fractional line and enrollment plan query module, a simulation reporting and precise voluntary reporting module, a user voluntary reporting evaluation module, an intelligent college and major recommendation module, an occupational employment oriented voluntary reporting recommendation module, a user characteristic evaluation module and a college entrance examination policy news and enrollment dynamics module. The system is advantaged in that the advanced artificial intelligent technology is ingeniously applied to facilitate decision making for college entrance examination voluntary reporting.
Description
Technical field
The present invention relates to aspiration and make a report on technical field, be specifically related to a kind of college entrance will artificial intelligence and make a report on
System and method.
Background technology
The universities and colleges' list 2016 with enrollment qualification announced according to the Ministry of Education, has high educational background religion
The universities and colleges' quantity educating qualification is: 844 universities and colleges of undergraduate course, 1288 professorship's (training) universities and colleges, 298 institutes
Run a school a little in independent college, 62 branch schooles.Including 507 bachelor degrees, 790 Professional Training Majors.
Colleges and universities owing to enrolling in each province are more, and all colleges and universities can not enroll simultaneously, by inhomogeneity
The batch by batch and stage by stage admission of type colleges and universities, is consequently formed batch.Having and criticize in advance, undergraduate course is a collection of, undergraduate course two batches,
Undergraduate course three batches, training is a collection of, training two batches etc..It is (straight according to each province that batch admission controls score line
Linchpin city, autonomous region) examinee's Entrance Examination level and enrollment plan, the admission determined according to a certain percentage
Each batch of new life, the minimum performance standard of each section class.Each batch, each section class batch line all can be different,
Section's class is the most often divided into literature and history class, science and engineering class, Arts and sport category etc., and literature and history class and science and engineering class are again
Be divided into first, second batch, the 3rd batch etc..
Having and the most in short describe the importance that college entrance will is made a report on, " three are divided into achievement, seven points of will
It is willing to." aspiration fill in more important than college entrance examination itself.The decision-making of entering a higher school of science is only never to select according to mark
Ze Yigehao school, it is often more important that according to self feature, the trend of following talents market and college entrance examination
The factors such as (course) achievement, select most suitable specialty and school, if decision-making is correct, would not go out
Now examine to enter the school of fractional matching, specialty, or be admitted to school, the phenomenon of difficult employment after graduation.
From the point of view of graduating student's oneself factor, in addition to lacking working experience, the student of many job huntings
Feel oneself to can not find the main cause of work, be to be learned specialty can not mate with target occupation.This
Present situation reflects between major and career in close relations, also reflects that student is at college entrance examination major choice simultaneously
On there is certain problem.
It is a strongest professional job that college entrance will is made a report on major choice, therefore graduates from the high school
Easily there is many puzzled and problem in raw selection during specialty.Major choice is improper, can directly affect student
At the learning state of university stage, the lighter produces emotion of being weary of studying, and severe one is exchanged specialty and even left school.Learn
How life selects specialty？Select specialty it is also contemplated which factor？What kind of specialty is only oneself and is best suitable for
Specialty？At present, making a report on in the problem of major choice in aspiration, student and the head of a family generally seem inadequate
Specialty and rationality, teacher is also difficult to the guidance and help of offer science.
According to authoritative department investigation display, there is the university students of 42.1% dissatisfied to being learned specialty；If it is permissible
Reselect specialty, have the university students of 65.5% to represent alternative specialty.High school student's generally oneself's mesh now
Mark disappearance, most students are before college entrance examination, and the sole purpose of study is gone to famous school to study exactly, read hot topic
Specialty, it is achieved father and mother and the hope of teacher, does not accounts for the individual need of oneself only.
Interest, individual character, value and the ability characteristic of oneself is understood not, future is learned specialty
And occupational characteristic is unclear, the development of university's study after causing, employment or even the occupation of whole life is all
There is a certain degree of obstacle.
College entrance will is made a report on and remarkable.Have every year nearly 9,000,000 examinees, the head of a family and examinee faced by,
It is to select from above-mentioned Liang Qianduosuo colleges and universities, more than 1,000 specialty, and makes a report on the most some
Batch.College entrance will is made a report on and is that one huge and the engineering of complexity, if do not use science method and
Instrument, be difficult to make optimum selection only according to mark, often occur some high scores examinee can not be enrolled with
And Some Universities can not find the phenomenon of student.
Numerous University Rank information, university often occur during examination carries out entering oneself for the examination colleges and universities
How these information are carried out scientific and normal management and have become by information and colleges and universities school admission imformation over the years
The a great problem paid close attention to for colleges and universities and the head of a family, examinee, the simple manual method that is suitable for is managed,
All can be restricted human resources with on the time, also limit examinee selects the high-efficient development in school simultaneously.
In the face of the head of a family and the puzzlement of examinee, such as: " volunteering how this fills out ", " school and specialty this how
Choosing ", " colleges and universities former years, how the fractional data of admission was analyzed ", " how colleges and universities enroll ", " save and recruit
Do and be how to file ", " how treating whether specialty in aspiration submits to assignment ", " learn between each batch
School is the most relevant ", need science, college entrance will efficient, rational to make a report on system and method and come family
Long and examinee's college entrance will is made a report on and is carried out decision assistant.
College entrance will makes a report on character and the purposes of system and method: college entrance will is made a report on system and method and is
In order to adapt to college entrance will science, the demand rationally, effectively made a report on and occur and develop, college entrance will
Make a report on system and method and can realize college entrance examination each side information and the informationization of information management, standardization,
The accuracy of making a report on the head of a family, examinee's college entrance will, reasonability, feasibility have impetus, favorably
Realize the university entered in ideal that is worth of oneself in examinee, be conducive to promoting in colleges and universities' enrollment colleges and universities and
Specialty, the matching degree of examinee, the beneficially development of China's personnel training cause.
As shown in Figure 2 and Figure 4, technical measures: mainly consider how to carry out college entrance examination under each factor
The problem that aspiration selects, utilizes analytic hierarchy process (AHP) to solve examinee's college entrance will select permeability, first to asking
Topic carries out model construction, gathers and processes external data, utilizing analytic hierarchy process (AHP), making and affect college entrance examination
The hierarchical chart of aspiration factors, the most comprehensively draws to obtain decision-making level's weight to destination layer, according to
The weight of gained provides the sequence of colleges and universities, and provides the scheme filling in aspiration.
Step and the mutual relation of composition:
Step:
1 college entrance will selects assembly structure
2 college entrance will external datas gather
3 with the more each college entrance will of stratification
4 analyze and produce college entrance will sequence
5 complete college entrance will sequence
The mutual relation constituted:
Select assembly, external data harvester, aspiration hierarchical structure table including college entrance will, compare square
Battle array, right vector, aspiration analytic unit, aspiration produce sorting unit.
Aspiration hierarchical structure table, comparator matrix, right vector build college entrance examination with external data harvester
Aspiration example；College entrance will select assembly with aspiration hierarchical structure table, comparator matrix, right vector,
Aspiration analytic unit, aspiration produce sorting unit and are connected, and utilize analytic hierarchy process (AHP) to provide college entrance will row
Sequence, has obtained a ranking results by correlated condition.
Its shortcoming has:
1, external data collection can not complete in full-automation；
2, the big data of college entrance examination relevant information are not set up
3, model construction is fairly simple, and college entrance will makes a report on colleges and universities to be considered enrollment situation, student
Speciality interest, specialty matching degree, teachers'level, expense, learning life environment, career prospects etc.
Each side factor
4, do not provide universities and colleges' specialized information, comprehensive and intelligence inquiry, simulation to make a report on and precisely make a report on, with
Occupation Obtained employment orientation is analyzed the functions such as recommendation
5, only process the aspiration list in model, do not provide the most raw for the most possible aspiration list
Product method
6, the generation of aspiration list does not provides and makes a report on consistent automatization's maker with actual college entrance will.
Summary of the invention
For problem above, the invention provides a kind of college entrance will artificial intelligence and make a report on system and method,
Solve the head of a family and examinee's college entrance will makes a report on the problem of aid decision, optimize college entrance will and make a report on matter
Amount and efficiency, reached to provide science for examinee and the head of a family, college entrance will reasonable, efficient is made a report on
The purpose of system and method.
To achieve these goals, the technical solution used in the present invention is as follows: a kind of college entrance will is artificial
Intelligence makes a report on system, is formed by with lower part: automatic data collection device EADH, the big data of college entrance examination are known
Know storehouse CDKB, degree of depth convolutional neural networks perception component DCNA, degree of depth convolutional neural networks weight component,
Degree of depth convolutional neural networks analytic unit DCNS, quick monte-carlo search tree optimization MROP, college entrance examination plan
Slightly Optimized model CSOM, college entrance will list automatization maker AFAG, user interface, backstage
Management module, colleges and universities and specialized information enquiry module, score line and enrollment plan enquiry module, simulation
Make a report on and precisely make a report on module, user volunteers evaluation module, universities and colleges and professional intellectual ability recommending module, with
Aspiration module, user characteristics test and appraisal module and entrance examination policies news and enrollment dynamic analog are recommended in occupation employment
Block.
According to technique scheme, described outside automatic data collection device EADH, for by specifying
Online whole nation college entrance examination information, colleges and universities and specialized information, University Enrollment are carried out automatically by poll time
The data acquisition of outside the pale of civilization portion；EADH supports that the form of each information source and data extract configuration.
According to technique scheme, described college entrance examination big data knowledge storehouse CDKB receives the number that EADH updates
According to, and administrator configurations data, former years College Recruitment Students admission information, college entrance examination in current year each side information,
And specialty and professional direction, talent market etc. combine and verify, establish college entrance examination information accurately
Big data.
According to technique scheme, degree of depth convolutional neural networks DCNN is an optimization of multi-layer perception (MLP)
Model, it develops from biological concept；DCNN is the improvement in BP neutral net, with
BP is similar to, and all have employed propagated forward and calculates output valve, and back propagation adjusts weight and biasing；Described
Degree of depth convolutional neural networks perception component DCNA obtains knowledge from college entrance examination big data knowledge storehouse CDKB,
In conjunction with user characteristics, output degree of depth user is correlated with college entrance examination data.Described degree of depth convolutional neural networks weight
Assembly DCNW receives DCNA information, utilizes advanced intelligent algorithm, to meeting user data
Colleges and universities, specialty relevant aspiration list carry out computing quick, accurate, compose power；Described degree of depth convolutional Neural
Network analysis component DCNS receives DCNW information, to aspiration the integrity of list, concordance, gradient,
Reasonability etc. are effectively analyzed.
According to technique scheme, described quick monte-carlo search tree optimization MROP is Monte Carlo tree
Searching method and the combination of quick acting value method of estimation, it is by monte-carlo search method and strengthening
A kind of artificial intelligence's searching algorithm that learning method is combined as a whole, RAVE collects and evaluates MCTS search
The state action pair of middle generation, and guided when upper once MCTS searches for, enable MCTS more
Big probability ground searches more preferable branch, the information of MROP reception CSOM, federated user characteristic,
Use the Markovian decision process nitrification enhancement unrelated with model, to volunteer list attend school rate,
Colleges and universities and specialty matching degree, mark utilization rate make value judgment and fast search.
According to technique scheme, described college entrance examination strategy optimization model CSOM Yu DCNA, DCNW, DCNS,
MROP utilizes the mutual exchange of information of information express passway, by High Efficiency Modeling, accurate pattern match, plan
Slightly mind over machine learn by the method being similar to brain and identify various college entrance will list difference and
Strategy, selects most suitable " pad is surely protected in punching " strategy according to user characteristic data and aspiration tendency, with
And reasonably mean type, type of leaping high, type of seeking to stable strategic step.
According to technique scheme, DCNA, DCNW, DCNS, MROP, CSOM creatively achieve
Advanced artificial intelligence technology is used for the function assisting college entrance will to make a report on decision-making, artificial by advanced person
The application of intellectual technology, overcomes the defect of traditional method, solves college entrance will and makes a report on middle high examination mark
Number, examinee's speciality interest, occupation Obtained employment orientation and the Optimized Matching such as colleges and universities, specialty and make a report on strategy,
The problem of efficiency.
According to technique scheme, described college entrance will list automatization maker AFAG Yu CSOM7 profit
With the mutual exchange of information of information express passway, automatization quickly produces the college entrance will table specified by CSOM
Single, aspiration list includes internal cryptographic form and shows output format, shows that output format and reality are high
Examine aspiration to make a report on unanimously.
According to technique scheme, described user interface receives user's input, utilizes with CSOM7
Information express passway exchange of information, it is provided that user interface succinct, efficient, reasonable, attractive in appearance, with behaviour
The various need that the easy feature make, control, used efficiently meets the head of a family, examinee's college entrance will is made a report on
Ask.
According to technique scheme, described Back Administration Module provides complete back-stage management interface, interface
And function, support manager, each role-security personnel that system is configured, update, data maintenance,
Operation maintenance.
According to technique scheme, described colleges and universities and specialized information enquiry module pass through user interface,
Perfect universities and colleges of colleges and universities information, specialized information, picture, map is provided to the head of a family and examinee, is situated between in detail
Continue, guide of recruiting student, information of preparing for the postgraduate qualifying examination, 211/985 Advantage of University and other characteristics, and provide advantage contrast.
According to technique scheme, described score line and enrollment plan enquiry module are by user operation circle
Face, provides perfect, the most each universities and colleges acceptance cut-off point over the years to the head of a family and examinee, over the years and this
Year enrollment plan inquiry
Additionally the present invention have also been devised a kind of college entrance will artificial intelligence and makes a report on method, it is characterised in that
Comprise the steps:
Big data knowledge storehouse CDKB2 is ready for step 1, college entrance examination；
Step 2, carry out automatization's external data collection by automatic data collection device EADH, be used for
By the poll time specified to online whole nation college entrance examination information, colleges and universities and specialized information, University Enrollment
Carry out automatization's external data collection；
Step 3, college entrance examination big data knowledge storehouse update, and receive the data that EADH updates, join with manager
Put data, former years College Recruitment Students admission information, college entrance examination in current year each side information, and specialty and duty
Industry direction, talent market etc. combine and verify, the big data of the college entrance examination information accurately that establishes；
Step 4, receiving user's input, user is carried out operating by user interface, control, is used；
Or system is configured by Back Administration Module, updates by manager, each role-security personnel,
Data maintenance, operation maintenance；
Step 5, DCNN judge: decision analysis degree of depth convolutional neural networks DCNN has generated information the most,
If the information of generation, continue next step.If the information of generation, by middle degree of depth convolutional Neural net
Network perception component DCNA, from college entrance examination big data knowledge storehouse CDKB obtain knowledge, in conjunction with user characteristics,
Output degree of depth user is correlated with college entrance examination data；Received by degree of depth convolutional neural networks weight component DCNW
DCNA information, utilizes advanced intelligent algorithm, relevant to meeting the colleges and universities of user data, specialty
Aspiration list carries out computing quick, accurate, composes power；By degree of depth convolutional neural networks analytic unit DCNS
Receive DCNW information, the aspiration integrity of list, concordance, gradient, reasonability etc. are carried out effectively
Analyze.
Step 6, MCTS judge: judge that quick monte-carlo search tree optimization MROP has obtained the most and search
Hitch fruit, if having obtained result, continues next step；If the result of acquisition, carry out deep search,
Federated user characteristic, uses the nitrification enhancement that Markovian decision process is unrelated with model,
Aspiration list is attended school rate, colleges and universities and specialty matching degree, mark utilization rate and makes value judgment and fast
Speed search；
Step 7, college entrance examination policy optimization: strategy optimization model CSOM, by High Efficiency Modeling, accurate mould
Formula coupling, strategy mind over machine learn by the method being similar to brain and identify various college entrance will table
Single difference and strategy, select most suitable " pad is surely protected in punching " according to user characteristic data and aspiration tendency
Strategy, and reasonably mean type, type of leaping high, type of seeking to stable strategic step；
Step 8, analyze produce aspiration: analyze produce aspiration list internal information, efficiently produce science,
Rationally aspiration；
Step 9, complete college entrance will and make a report on business: complete college entrance will and make a report on business.
Beneficial effects of the present invention:
The present invention creatively achieves and is used for assisting college entrance will to make a report on by advanced artificial intelligence technology
The function of decision-making；Solve the head of a family and examinee is difficult to grasp national universities college entrance examination information, college entrance examination will comprehensively
Be willing to make a report on Decision-Making Difficulties, college entrance will makes a report on that optimization degree is the highest, tactic is the highest, mark utilization rate not
High problem, solves conventional improved method model simple, it is impossible to realize being optimized mass data
The problem processed；Carry out outside automatization based on big data, cloud, artificial intelligence and external data harvester
Portion's data acquisition, artificial intelligence analysis, aspiration policy optimization and efficiency optimization, consider colleges and universities and recruit
Raw situation, student's speciality interest, specialty matching degree, teachers'level, expense, learning life environment,
The each side factors such as career prospects, reached for examinee and the head of a family provide science, rationally, efficient
College entrance will makes a report on the effect of system and method.
Accompanying drawing explanation
Fig. 1 is present system structural representation；
Fig. 2 is background of invention system structure schematic diagram；
Fig. 3 is the inventive method flow chart；
Fig. 4 is background of invention method flow diagram.
Detailed description of the invention
In order to make the purpose of the present invention, technical scheme and advantage clearer, below in conjunction with enforcement
Example, is further elaborated to the present invention.Should be appreciated that specific embodiment described herein
Only in order to explain the present invention, it is not intended to limit the present invention.
Embodiment
With reference to Fig. 1 and Fig. 3, college entrance will artificial intelligence makes a report on system and is formed by with lower part:
1 automatic data collection device EADH
(Externalautomationdataacquisitionhardware)
2 college entrance examination big data knowledge storehouse CDKB
(Collegeentranceexaminationdataknowledgebase)
3 degree of depth convolutional neural networks perception component DCNA (DCNNawarecomponent)
4 degree of depth convolutional neural networks weight component DCNW (DCNNWeightcomponent)
5 degree of depth convolutional neural networks analytic unit DCNS (DCNNanalysiscomponent)
6 quick monte-carlo search tree optimization MROP (MCTS-RAVEOptimizationcomponent)
7 college entrance examination strategy optimization model CSOM
(CollegeentranceexaminationstrategyOptimizationmodel)
8 college entrance will list automatization maker AFAG
(Aspirationformsautomationgeneratorofcollegeentranceexamina
tion)
9 user interfaces
10 back-stage management
11 colleges and universities and specialized information inquiry
12 score lines, enrollment plan inquiry
13 simulations are made a report on and are precisely made a report on
14 users volunteer assessment
15 universities and colleges and professional intellectual ability are recommended
16 recommend aspiration with occupation employment
17 user characteristicses (personality, psychology, speciality, interest etc.) are tested and assessed
18 entrance examination policies news and enrollment are dynamically.
Described outside automatic data collection device EADH1, is used for by the poll time specified the online whole nation
College entrance examination information, colleges and universities and specialized information, University Enrollment carry out automatization's external data collection.EADH1
Form and the data of supporting each information source extract configuration.
Described college entrance examination big data knowledge storehouse CDKB2 receives the data that EADH1 updates, with administrator configurations
Data, former years College Recruitment Students admission information, college entrance examination in current year each side information, and professional and professional
Direction, talent market etc. combine and verify, the big data of the college entrance examination information accurately that establishes.
Degree of depth convolutional neural networks (DCNN) is an Optimized model of multi-layer perception (MLP) (MLP), it
Develop from biological concept.DCNN is the improvement in BP neutral net, similar with BP,
All have employed propagated forward and calculate output valve, back propagation adjusts weight and biasing.Described degree of depth convolution
Neutral net perception component DCNA3 (DCNNawarecomponent) is from college entrance examination big data knowledge storehouse CDKB2
Middle acquisition knowledge, in conjunction with user characteristics (mark, aspiration purpose, speciality interest, psychological peculiarity, just
Industry tendency etc.), output degree of depth user is correlated with college entrance examination data.Described degree of depth convolutional neural networks weight component
DCNW4 (DCNNWeightcomponent) receives DCNA3 information, utilizes advanced artificial intelligence to calculate
Method, to meeting the colleges and universities of user data, specialty relevant aspiration list carries out computing quick, accurate, tax
Power.Described degree of depth convolutional neural networks analytic unit DCNS5 (DCNNanalysiscomponent) connects
Receive DCNW4 information, the aspiration integrity of list, concordance, gradient, reasonability etc. are carried out effectively
Analyze.
Described quick monte-carlo search tree optimization MROP6
(MCTS-RAVEOptimizationcomponent) it is Monte Carlo tree searching method and quick acting
The combination of value method of estimation, it is by Monte Carlo (Monte Carlo) searching method and intensified learning
A kind of artificial intelligence's searching algorithm that (ReinforcementLearning, RL) method is combined as a whole.
RAVE collects and evaluates the state action pair produced in MCTS search, and when upper once MCTS searches for
Guided, searched more preferable branch with enabling the bigger probability of MCTS.MROP6 receives CSOM7
Information, federated user characteristic, use Markovian decision process
(MarkovDecisionProcesses.MDP) nitrification enhancement unrelated with model
(ReinforcementLearning, RL), to aspiration list attend school rate, colleges and universities and specialty matching degree,
Mark utilization rate makes value judgment and fast search.
Described college entrance examination strategy optimization model CSOM7 Yu DCNA3, DCNW4, DCNS5, MROP6 utilize letter
The breath mutual exchange of information of express passway, by High Efficiency Modeling, accurate pattern match, strategy mind over machine
Learn and identify difference and the strategy of various college entrance will list by the method being similar to brain, according to
User characteristic data and aspiration tendency select most suitable " pad is surely protected in punching " strategy, and reasonably put down
All type, type of leaping high, type of seeking to stable strategic steps.
DCNA3, DCNW4, DCNS5, MROP6, CSOM7 creatively achieve advanced artificial intelligence
Energy technology is for assisting college entrance will to make a report on the function of decision-making, by the application of advanced artificial intelligence technology,
Overcome the defect of traditional method, solve college entrance will make a report on middle college entrance examination mark, examinee's speciality interest,
Occupation Obtained employment orientation and the Optimized Matching such as colleges and universities, specialty and the problem of making a report on strategy, efficiency.
Described college entrance will list automatization maker AFAG8 with CSOM7 utilizes information express passway phase
Exchange of information mutually, automatization quickly produces the college entrance will list specified by CSOM7, volunteers list bag
Include internal cryptographic form and show output format, showing that output format is made a report on consistent with actual college entrance will.
Described user interface 9 receives user's input, utilizes information express passway to exchange with CSOM7
Information, it is provided that user interface succinct, efficient, reasonable, attractive in appearance, with operate, control, use
The easy various demands that feature efficiently meets the head of a family, examinee's college entrance will is made a report on.
Described back-stage management 10 provides complete back-stage management interface, interface and function, supports manager
(Administrator), each role-security personnel system configured, update, data maintenance,
Operation maintenance.
Described colleges and universities and specialized information inquiry 11, by user interface 9, provide to the head of a family and examinee
Perfect universities and colleges of colleges and universities information, specialized information, picture, map, it is discussed in detail, guide of recruiting student, examines
Grind information, 211/985 Advantage of University and other characteristics, and provide advantage contrast.
Described score line, enrollment plan inquiry 12, by user interface 9, carry to the head of a family and examinee
For perfect, the most each universities and colleges acceptance cut-off point over the years, over the years and enrollment plan inquiry in the current year.
In the face of the head of a family and the puzzlement of examinee, such as: " volunteering how this fills out ", " school and specialty this how
Choosing ", how to treat whether specialty in aspiration submits to assignment ", " between each batch, school is the most relevant ",
Described simulation makes a report on and precisely makes a report on 13 by user interface 9, it is provided that the quick height of automatization
Examine aspiration and make a report on method.In conjunction with characteristics such as user's achievement, college entrance will tendencies, automatically generate,
By science, method efficient, rational, recommend to overlap the accurate college entrance examination meeting user characteristics to user more
Aspiration makes a report on scheme, and user freely can be adjusted by demand.
Described user volunteers to assess 14 and passes through user interface 9, receives the aspiration list of user's typing,
And provide indices grading, aspiration list comprehensive grading and Optimizing Suggestions, adapt to the head of a family, examinee
Another kind of college entrance will make a report on demand, the most target institution, specialty, sort out a aspiration table
List need to assess its integrity, notch cuttype, reasonability.
Traditional college entrance will is made a report on, and the head of a family and student need to prepare, consult considerable data and letter
Breath, all kinds of enrollment policies (" entrance examination report ", " college entrance examination guide ", " height newly put into effect such as the whole nation and this province
School recruits student " and other books and reference materials published by each provincial enrollment department), state and this province newly put into effect each
Class employment policy, each school website, entrance examination newpapers and periodicals, " enrollment article ".Described universities and colleges and specialty
Intelligent recommendation 15 is by user interface 9, by quick for the universities and colleges and specialty meeting user characteristics, intelligence
Recommend the head of a family and examinee energy, be greatly promoted the improved efficiency that college entrance will is made a report on.
According to authoritative department investigation display, there is the university students of 42.1% dissatisfied to being learned specialty；If it is permissible
Reselect specialty, have the university students of 65.5% to represent alternative specialty.Except examinee institute registered speciality not
Meet individual speciality, interest, postgraduate vocational development, suit one's training also be examinee pay close attention to primary
Problem.Described employment with occupation recommends aspiration 16 to pass through user interface 9, based on examinee over the years just
Industry and occupation data, in conjunction with user's achievement, aspiration tendency and characteristic, provide for the head of a family and student
The college entrance will tending to occupational planning and development makes a report on decision assistant.
Scientific and rational college entrance will is made a report on, in addition to the information such as user's mark, arts and science, it is necessary to
Optimal college entrance will just can be provided the user with in conjunction with user characteristics (personality, speciality, interest etc.)
Make a report on decision-making to teach.Described user characteristics (personality, psychology, speciality, interest etc.) test and appraisal 17, logical
Cross user interface 9, with the authoritative exam pool generally acknowledged both at home and abroad and method, user is carried out personality trait,
Personality, Psychological Evaluation, obtain effective user characteristics.
Described entrance examination policies news and recruit student dynamic 18, by user interface 9, to the head of a family and Kao
Raw provide comprehensively, precisely, the information such as dynamically of entrance examination policies, college entrance examination news and enrollment timely.
With reference to shown in Fig. 3, college entrance will artificial intelligence makes a report on method, comprises the steps:
Big data knowledge storehouse CDKB2 is ready for step 1, college entrance examination
Step 2, carry out automatization's external data collection by automatic data collection device EADH1, be used for
By the poll time specified to online whole nation college entrance examination information, colleges and universities and specialized information, University Enrollment
Carry out automatization's external data collection.
Step 3, college entrance examination big data knowledge storehouse update, and receive the data that EADH1 updates, join with manager
Put data, former years College Recruitment Students admission information, college entrance examination in current year each side information, and specialty and duty
Industry direction, talent market etc. combine and verify, the big data of the college entrance examination information accurately that establishes.
Step 4, receiving user's input, user is carried out operating by user interface 9, control, is made
With；Or manager (Administrator), each role-security personnel pass through back-stage management 10 to being
System carries out configuring, updates, data maintenance, operation maintenance.
Step 5, DCNN judge: decision analysis degree of depth convolutional neural networks (DCNN) generates the most
Information, if the information of generation, continues next step.If the information of generation, by middle degree of depth convolution
Neutral net perception component DCNA3 (DCNNawarecomponent), from college entrance examination big data knowledge storehouse
In CDKB2 obtain knowledge, in conjunction with user characteristics (mark, aspiration purpose, speciality interest, psychological peculiarity,
Employment tendency etc.), output degree of depth user is correlated with college entrance examination data；By degree of depth convolutional neural networks weight group
Part DCNW4 (DCNNWeightcomponent) receives DCNA3 information, utilizes advanced artificial intelligence
Algorithm, to meeting the colleges and universities of user data, specialty relevant aspiration list carries out computing quick, accurate,
Compose power；By degree of depth convolutional neural networks analytic unit DCNS5 (DCNNanalysiscomponent)
Receive DCNW4 information, the aspiration integrity of list, concordance, gradient, reasonability etc. are had
Effect is analyzed.
Step 6, MCTS judge: judge quick monte-carlo search tree optimization MROP6
(MCTS-RAVEOptimizationcomponent) Search Results has the most been obtained, if having obtained knot
Really, next step is continued；If the result of acquisition, carry out deep search, federated user characteristic,
Use Markovian decision process (MarkovDecisionProcesses.MDP) strong unrelated with model
Change learning algorithm (ReinforcementLearning, RL), to aspiration list attend school rate, colleges and universities and
Specialty matching degree, mark utilization rate make value judgment and fast search.
Step 7, college entrance examination policy optimization: strategy optimization model CSOM7, by High Efficiency Modeling, accurate mould
Formula coupling, strategy mind over machine learn by the method being similar to brain and identify various college entrance will table
Single difference and strategy, select most suitable " pad is surely protected in punching " according to user characteristic data and aspiration tendency
Strategy, and reasonably mean type, type of leaping high, type of seeking to stable strategic step.
Step 8, analyze produce aspiration: analyze produce aspiration list internal information, efficiently produce science,
Rationally aspiration.
Step 9, complete college entrance will and make a report on business: complete college entrance will and make a report on business.
Advantages of the present invention:
1, by the outside automatic data collection device EADH of the hardware of independent research, to whole nation college entrance examination information,
Colleges and universities and specialized information, University Enrollment carry out automatization's external data collection.
2, by College Recruitment Students in former years, admission information, and specialty and professional direction, talent market etc.,
Be combined with college entrance examination in current year each side information, the big data of the college entrance examination information accurately that establishes.
3, consider colleges and universities' enrollment situation, former years enroll situation and trend, student's speciality interest, specially
The each side factors such as industry matching degree, teachers'level, expense, learning life environment, career prospects,
Construct college entrance examination strategy optimization model CSOM4, creatively achieve advanced artificial intelligence technology use
The function of decision-making is made a report in auxiliary college entrance will.By artificial intelligence technology such as DCNN (degree of depth convolutional Neural
Network), the application of MCTS-RAVE (the monte-carlo search tree of improvement) etc., overcome traditional method
Defect, solve college entrance will make a report on middle college entrance examination mark, examinee's speciality interest, occupation Obtained employment orientation
Problem with the Optimized Matching such as colleges and universities, specialty.
5, achieve colleges and universities and specialized information inquiry, comprehensive and intelligence is inquired about, simulation is made a report on and precisely filled out
Report, be analyzed the heads of a family such as recommendation and the high efficiency method of examinee's practicality with occupation Obtained employment orientation.
6, achieving college entrance will list automatization maker AFAG, the head of a family, examinee can be manually entered
Aspiration, it is possible to use the aspiration of system recommendation.Aspiration list output format and actual college entrance will are filled out
Report is consistent.
It is a strongest professional job that college entrance will is made a report on major choice, and college entrance will is made a report on
System and method needs to make effective decision-making from the magnanimity of national universities, specialty combines, and helps the head of a family
With examinee's science, efficiently, rationally make a report on college entrance will.Therefore college entrance will makes a report on system and method
Precision, efficiency, the simplicity operate, control, used is particularly important." college entrance will artificial intelligence make a report on
System and method " there is mark and colleges and universities and professional high accuracy of mating, magnanimity operation efficiency height, operate,
Control, use the easiest advantage.
1, precision index test:
Experimental condition: 1000 examinee's achievements in 2015, speciality interest, prestigious colleges and universities, specialty etc. are wanted
Ask；The information such as the College Recruitment Students ending 2014；The actual enrollment situation of colleges and universities of 2015 and score line
(this does result verification)
Test method: by background technology method " analytic hierarchy process (AHP) " with " college entrance will artificial intelligence fill out
Reporting system and method " each examinee recommends to volunteer list, the actual trick of colleges and universities by 2015 respectively
Raw situation and score line compare, add up its recommend the first aspiration to attend school rate, aspiration list entirety is attended school
Rate, specialty matching degree, mark utilization rate and statistical accuracy.
2, efficiency index test:
Experimental condition: 100,1,000,10,000,100,000 simulation examinee's achievements in 2015, speciality is emerging
Interest, the requirement such as prestigious colleges and universities, specialty；The information such as the College Recruitment Students ending 2014；
Test method: by background technology method " analytic hierarchy process (AHP) " with " college entrance will artificial intelligence fill out
Reporting system and method " each examinee recommends to volunteer list, the time that statistics is spent respectively.(remarks:
System supports multiple aspiration list parallel generations, recommendation, and data below is the non-conjunction sequentially generated parallel
Between timing)
| 100 aspiration lists | 1000 aspiration lists | 10000 aspiration lists | 100000 aspiration lists | |
| Analytic hierarchy process (AHP) | 105.2s | 1135.6s | 12593.4s | 128734.5s |
| The present invention | 26.9s | 271.8s | 2750.1s | 27653.7s |
The easy characteristic analysis operate, control, used: " college entrance will artificial intelligence makes a report on system and side
Method " achieve colleges and universities and specialized information inquiry, comprehensive and intelligence inquiry, simulation are made a report on and are precisely made a report on,
It is analyzed the heads of a family such as recommendation and the high efficiency method of examinee's practicality with occupation Obtained employment orientation.By independently grinding
The outside automatic data collection device EADH of the hardware sent out, by College Recruitment Students in former years, admission information, and
Specialty and professional direction, talent market etc., be combined with college entrance examination in current year each side information, establish essence
The accurate big data of college entrance examination information.Achieve college entrance will list automatization maker, the head of a family, Kao Shengke
To be manually entered aspiration, it is possible to use the aspiration of system recommendation.Further, aspiration list output format
Make a report on consistent with actual college entrance will, reduce the head of a family, examinee in the conversion of different-format list.With
It is various that the easy feature operate, control, used efficiently meets the head of a family, examinee's college entrance will is made a report on
Demand.
The foregoing is only presently preferred embodiments of the present invention, not in order to limit the present invention, all
Any amendment, equivalent and the improvement etc. made within the spirit and principles in the present invention, all should comprise
Within protection scope of the present invention.
Claims (9)
1. a college entrance will artificial intelligence makes a report on system, it is characterized in that, formed by with lower part: automatic data collection device EADH, college entrance examination big data knowledge storehouse CDKB, degree of depth convolutional neural networks perception component DCNA, degree of depth convolutional neural networks weight component, degree of depth convolutional neural networks analytic unit DCNS, quickly monte-carlo search tree optimization MROP, college entrance examination strategy optimization model CSOM, college entrance will list automatization maker AFAG, user interface, Back Administration Module, colleges and universities and specialized information enquiry module, score line and enrollment plan enquiry module, simulation is made a report on and precisely makes a report on module, user volunteers evaluation module, universities and colleges and professional intellectual ability recommending module, aspiration module is recommended with occupation employment, user characteristics test and appraisal module and entrance examination policies news and enrollment dynamic module.
A kind of college entrance will artificial intelligence the most according to claim 1 makes a report on system, it is characterized in that, described outside automatic data collection device EADH, for carrying out automatization's external data collection by the poll time specified to online whole nation college entrance examination information, colleges and universities and specialized information, University Enrollment；EADH supports that the form of each information source and data extract configuration, college entrance examination big data knowledge storehouse CDKB receives the data that EADH updates, with administrator configurations data, former years College Recruitment Students admission information, college entrance examination in current year each side information, and specialty and professional direction, talent market etc. combine and verify, the big data of the college entrance examination information accurately that establishes.
A kind of college entrance will artificial intelligence the most according to claim 1 makes a report on system, it is characterized in that, also including degree of depth convolutional neural networks assembly DCNN and quick monte-carlo search tree optimization MROP, above-mentioned degree of depth convolutional neural networks DCNN assembly is an Optimized model of multi-layer perception (MLP)；DCNN assembly have employed propagated forward and calculates output valve, and back propagation adjusts weight and biasing；Described degree of depth convolutional neural networks perception component DCNA obtains knowledge from college entrance examination big data knowledge storehouse CDKB, and in conjunction with user characteristics, output degree of depth user is correlated with college entrance examination data；Described degree of depth convolutional neural networks weight component DCNW receives DCNA information, utilizes advanced intelligent algorithm, and to meeting the colleges and universities of user data, specialty relevant aspiration list carries out computing quick, accurate, composes power；Described degree of depth convolutional neural networks analytic unit DCNS receives DCNW information, effectively analyzes the aspiration integrity of list, concordance, gradient, reasonability etc.；Quickly monte-carlo search tree optimization MROP assembly is the combination of Monte Carlo tree searching method and quick acting value method of estimation, it is a kind of artificial intelligence's searching algorithm monte-carlo search method and intensified learning method being combined as a whole, RAVE collects and evaluates the state action pair produced in MCTS search, and guided when upper once MCTS searches for, search more preferable branch with enabling the bigger probability of MCTS, MROP assembly receives the information of CSOM, federated user characteristic, use the nitrification enhancement that Markovian decision process is unrelated with model, aspiration list is attended school rate, colleges and universities and specialty matching degree, mark utilization rate makes value judgment and fast search.
A kind of college entrance will artificial intelligence the most according to claim 1 makes a report on system, it is characterized in that, college entrance examination strategy optimization model CSOM Yu DCNA, DCNW, DCNS, MROP utilize the mutual exchange of information of information express passway, are learnt by the method being similar to brain by High Efficiency Modeling, accurate pattern match, strategy mind over machine and are identified difference and the strategy of various college entrance will list.
A kind of college entrance will artificial intelligence the most according to claim 1 makes a report on system, it is characterized in that, described college entrance will list automatization maker AFAG Yu CSOM7 utilizes the mutual exchange of information of information express passway, automatization quickly produces the college entrance will list specified by CSOM, aspiration list includes internal cryptographic form and shows output format, shows that output format is made a report on consistent with actual college entrance will.
A kind of college entrance will artificial intelligence the most according to claim 1 makes a report on system, it is characterised in that described user interface receives user's input, utilizes information express passway exchange of information with CSOM7.
A kind of college entrance will artificial intelligence the most according to claim 1 makes a report on system, it is characterized in that, described Back Administration Module provides complete back-stage management interface, interface and function, support manager, each role-security personnel that system is configured, update, data maintenance, operation maintenance.
A kind of college entrance will artificial intelligence the most according to claim 1 makes a report on system, it is characterized in that, described colleges and universities and specialized information enquiry module pass through user interface, to the head of a family and examinee provide perfect universities and colleges of colleges and universities information, specialized information, picture, map, be discussed in detail, guide of recruiting student, information of preparing for the postgraduate qualifying examination, 211/985 Advantage of University and other characteristics, and provide advantage contrast；Score line and enrollment plan enquiry module by user interface, provide perfect, the most each universities and colleges acceptance cut-off point over the years, over the years and enrollment plan inquiry in the current year to the head of a family and examinee.
9. a college entrance will artificial intelligence makes a report on method, it is characterised in that comprise the steps:
Big data knowledge storehouse CDKB2 is ready for step 1, college entrance examination；
Step 2, carry out automatization's external data collection by automatic data collection device EADH, for online whole nation college entrance examination information, colleges and universities and specialized information, University Enrollment being carried out automatization's external data collection by the poll time specified；
Step 3, college entrance examination big data knowledge storehouse update, and receive the data that EADH updates, with administrator configurations data, former years College Recruitment Students admission information, college entrance examination in current year each side information, and specialty and professional direction, talent market etc. combine and verify, the big data of the college entrance examination information accurately that establishes；
Step 4, receiving user's input, user is carried out operating by user interface, control, is used；Or system is configured by Back Administration Module, updates by manager, each role-security personnel, data maintenance, operation maintenance；
Step 5, DCNN judge: decision analysis degree of depth convolutional neural networks DCNN has generated information the most, if the information of generation, continue next step；If the information of generation, by middle degree of depth convolutional neural networks perception component DCNA, obtaining knowledge from college entrance examination big data knowledge storehouse CDKB, in conjunction with user characteristics, output degree of depth user is correlated with college entrance examination data；Receiving DCNA information by degree of depth convolutional neural networks weight component DCNW, utilize advanced intelligent algorithm, to meeting the colleges and universities of user data, specialty relevant aspiration list carries out computing quick, accurate, composes power；Receive DCNW information by degree of depth convolutional neural networks analytic unit DCNS, the aspiration integrity of list, concordance, gradient, reasonability etc. are effectively analyzed.
Step 6, MCTS judge: judge that quick monte-carlo search tree optimization MROP has obtained Search Results the most, if having obtained result, continue next step；If the result of acquisition, carry out deep search, federated user characteristic, use the nitrification enhancement that Markovian decision process is unrelated with model, aspiration list is attended school rate, colleges and universities and specialty matching degree, mark utilization rate and makes value judgment and fast search；
Step 7, college entrance examination policy optimization: strategy optimization model CSOM, learn by the method being similar to brain by High Efficiency Modeling, accurate pattern match, strategy mind over machine and identify difference and the strategy of various college entrance will list, most suitable " pad is surely protected in punching " strategy, and reasonably mean type, type of leaping high, type of seeking to stable strategic step is selected according to user characteristic data and aspiration tendency；
Step 8, analysis produce aspiration: analyze the aspiration list internal information produced, efficiently produce science, rationally volunteer；
Step 9, complete college entrance will and make a report on business: complete college entrance will and make a report on business.
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