CN109712667A - Simulate the control method in the building of Bone Marrow Mesenchymal Stem Cells Transplantation external model - Google Patents
Simulate the control method in the building of Bone Marrow Mesenchymal Stem Cells Transplantation external model Download PDFInfo
- Publication number
- CN109712667A CN109712667A CN201811620417.2A CN201811620417A CN109712667A CN 109712667 A CN109712667 A CN 109712667A CN 201811620417 A CN201811620417 A CN 201811620417A CN 109712667 A CN109712667 A CN 109712667A
- Authority
- CN
- China
- Prior art keywords
- mesenchymal stem
- data
- stem cell
- simulation
- bone marrow
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Landscapes
- Investigating Or Analysing Biological Materials (AREA)
Abstract
The invention belongs to stem cell transplantation technical fields, disclose a kind of control method simulated in the building of Bone Marrow Mesenchymal Stem Cells Transplantation external model, set-up of control system in simulation Bone Marrow Mesenchymal Stem Cells Transplantation external model building has simulation mesenchymal stem cell density gradient centrifugation separator, pass through gradient centrifugation digital simulation, data after separation are transferred in simulation mesenchymal stem cell culture data collector, crucial information data is collected.Control system and control method in simulation Bone Marrow Mesenchymal Stem Cells Transplantation external model building, mesenchymal stem cell and surface antigen correlation can be quickly analyzed and be found by the data control system and control method, reduces the difficulty of Bone Marrow Mesenchymal Stem Cells Transplantation culture and modeling.
Description
Technical field
The invention belongs to stem cell transplantation technical field more particularly to a kind of simulation Bone Marrow Mesenchymal Stem Cells Transplantation are external
Control method in model construction.
Background technique
It include two class stem cells, i.e. candidate stem cell and mescenchymal stem cell in marrow.Mescenchymal stem cell belongs to mixed
Heteroproteose cell group has plasticity as versatile stem cell, can Differentiation Induction in vitro be again that Skeletal Muscle Cell, fat are thin
Born of the same parents, cardiac muscle cell, epithelial cell and vascular endothelial cell, and participate in newborn in-vivo tissue, injury repair and reconstruction.
Currently, the external model building for mescenchymal stem cell generally uses density-gradient centrifugation method, difference adherent method
It is established with enzyme digestion.The surface antigen for finding high degree of specificity, is conducive to the culture and transplanting of mescenchymal stem cell in vitro.
In simulation Bone Marrow Mesenchymal Stem Cells Transplantation external model building process, a large amount of related data is needed, but lack height now
Easy data system and complete data control method are imitated, so that mescenchymal stem cell be made to cultivate in vitro and the foundation of model
Increase difficulty.
In conclusion problem of the existing technology is:
(1) lack the data system and complete data control method of high-efficient simple, to mesenchymal stem cell in body
Outer culture and the foundation of model increase difficulty, classify when classifying to data indefinite, increase for the processing of subsequent cell
Difficulty.
(2) when being detected, the number of iterations is larger for the single-chip microcontroller that traditional antigen detector uses, computation rate compared with
Slowly, working efficiency is lower.
(3) data processor due to the power consumption of the more generation of the data of processing it is larger, can not to processor generate power consumption
It is calculated, reduces the treatment effeciency of processor, it is larger to the error of correlation analysis.
Summary of the invention
In view of the problems of the existing technology, the present invention provides a kind of external moulds of simulation Bone Marrow Mesenchymal Stem Cells Transplantation
Control system and control method in type building.
The invention is realized in this way the controlling party in a kind of simulation Bone Marrow Mesenchymal Stem Cells Transplantation external model building
Method, the control method simulated in the building of Bone Marrow Mesenchymal Stem Cells Transplantation external model are as follows:
Step 1: will be between required simulation marrow by simulation mesenchymal stem cell density gradient centrifugation separator
The data separating of mesenchymal stem cells comes out, and passes data in simulation mesenchymal stem cell culture data collector, converges
Collect the data separated, and is compiled；Data collector can be collected data and separate, and carry out to data
The data classification method of classification uses sorting algorithm neural network based；
Step 2: the data gathered are transferred in data storage and carry out storage preservation, then send data to bone
In bone marrow-drived mesenchymal stem surface antigen detector, the Data Detection of mesenchymal stem cell surface antigen expression is carried out, it will
It is detected and is extracted with the data that antigen presentation first closes；Antigen detector detects data by internal single-chip microcontroller；
Step 3: it is compared by mesenchymal stem cell surface antigen contrast device and the data in data storage
Analysis, finds out biological nature relevant to mesenchymal stem cell and the relevant data of value-added features；
Step 4: the influence degree for finding out different antigen presentations by mesenchymal stem cell surface antigen analysis device is big
Small and antigen percentage size, transfers data in data storage and is saved；
Step 5: the antigen data screened being sent in mathematical statistics processor and carries out combing statistics, and is carried out
Correlation analysis draws linear fit function curve by graph making device, finds out the in vitro culture of mesenchymal stem cell
It is more related to which kind of antigen presentation.
Further, in the step 1, neural network based point is used to the data classification method that data are classified
Class algorithm, specifically: neural network sums to the amount of weighted input coefficient, is exported according to the comparison of final value and threshold value
Corresponding amount, input value X1, X2... ..., Xn, corresponding weight coefficient is respectively W1, W2... ..., Wn, read group total Xi*Wi, then
Produce excitation layer a=(X1*W1)+(X2*W2)+…+(Xi*Wi)+…+(Xn*Wn), wherein WiTo represent the power in assessment models
Coefficient；XiThe frequency of occurrences is recorded for each item；
In step 2, single-chip microcontroller uses improved POS algorithm, improved POS algorithm model are as follows:
In formula: wmaxAnd wminIndicate inertia weight maximum and minimum value, t indicates the number of iterations, ItermaxIndicate that maximum changes
Generation number；
In step 5, processor power consumption when carrying out the combing of data is larger, the dynamic power consumption appraising model of processor are as follows:
In formula: c is the number of processor core；N is VF grade locating for processor；VnFor in VFnUnder voltage value；I is hard
Part Case Number；EiFor the frequency of i-th of hardware event；Wdyn(i)For event EiCorresponding coefficient.
The simulation Bone Marrow Mesenchymal Stem Cells Transplantation external model is realized another object of the present invention is to provide a kind of
The computer program of control method in building.
The simulation Bone Marrow Mesenchymal Stem Cells Transplantation external model is realized another object of the present invention is to provide a kind of
The information data processing terminal of control method in building.
Another object of the present invention is to provide a kind of computer readable storage mediums, including instruction, when it is in computer
When upper operation, so that computer executes the controlling party in the simulation Bone Marrow Mesenchymal Stem Cells Transplantation external model building
Method.
Another object of the present invention is to provide in a kind of building of simulation Bone Marrow Mesenchymal Stem Cells Transplantation external model
Control system is provided with simulation mesenchymal stem cell density gradient centrifugation separator, will by gradient centrifugation digital simulation
Data after separation are transferred in simulation mesenchymal stem cell culture data collector, collect crucial information data；Mould
Quasi- mesenchymal stem cell culture data collector is connected to data storage, data storage and mesenchymal stem cell
The connection of surface antigen detector；Mesenchymal stem cell surface antigen detector and mesenchymal stem cell surface antigen pair
It being connected than device, mesenchymal stem cell surface antigen contrast device is connect with mesenchymal stem cell surface antigen analysis device,
And data can be back in data storage and be stored by mesenchymal stem cell surface antigen analysis device；Medulla mesenchyma
Stem cell surface antigen analyzer is connect with mathematical statistics processor and graph making device respectively again.
Further, the mesenchymal stem cell surface antigen detector, during detecting simulation culture, bone
The type and quantity of bone marrow-drived mesenchymal stem surface antigen.
Further, the mesenchymal stem cell surface antigen contrast device, for the number that is stored in data storage
According to comparing, surface antigen presentation correlation is analyzed.
The simulation Bone Marrow Mesenchymal Stem Cells Transplantation external model is carried another object of the present invention is to provide a kind of
The hematopoietic stem cell transplantation external model of control system in building constructs terminal.
The simulation Bone Marrow Mesenchymal Stem Cells Transplantation external model is carried another object of the present invention is to provide a kind of
The mesenchymal stem cell transplantation external model of control system in building constructs terminal.
Advantages of the present invention and good effect are as follows:
(1) control system and control method in simulation Bone Marrow Mesenchymal Stem Cells Transplantation external model building, passes through
Mesenchymal stem cell and surface antigen correlation can quickly be analyzed and be found to the data control system and control method,
Reduce the difficulty of Bone Marrow Mesenchymal Stem Cells Transplantation culture and modeling, the classification using the classification method of neural network, to data
It is clear, it lays a good foundation for the processing of subsequent cell.
(2) single-chip microcontroller in antigen detector uses improved POS algorithm, greatly reduces the number of iterations, improves inspection
The detection rates for surveying device, improve the working efficiency of detector.
(3) by the foundation of the power consumption model to data processor, the power consumption of processor is specified, it can be according to processor
Power consumption data are transmitted, improve the efficiency of processor, avoid correlation analysis generation error.
Detailed description of the invention
Fig. 1 is the control system in simulation Bone Marrow Mesenchymal Stem Cells Transplantation external model building provided in an embodiment of the present invention
The structural schematic diagram of system and control method；
In figure: 1, simulating mesenchymal stem cell density gradient centrifugation separator；2, mesenchymal stem cell is simulated
Cultivate data collector；3, data storage；4, mesenchymal stem cell surface antigen detector；5, medulla mesenchyma is dry thin
Cellular surface antigen contrast device；6, mesenchymal stem cell surface antigen analysis device；7, mathematical statistics processor；8, graph making
Device；
Specific embodiment
In order to further understand the content, features and effects of the present invention, the following examples are hereby given, and cooperate attached drawing
Detailed description are as follows.
Structure of the invention is explained in detail with reference to the accompanying drawing.
As shown in Figure 1, in simulation Bone Marrow Mesenchymal Stem Cells Transplantation external model building provided in an embodiment of the present invention
Control system, comprising: simulation mesenchymal stem cell density gradient centrifugation separator 1, simulation mesenchymal stem cell training
Support data collector 2, data storage 3, mesenchymal stem cell surface antigen detector 4, mesenchymal stem cell table
Face antigen contrast device 5, mesenchymal stem cell surface antigen analysis device 6, mathematical statistics processor 7, graph making device 8；
Control system and control method in simulation Bone Marrow Mesenchymal Stem Cells Transplantation external model building are provided with mould
Quasi- mesenchymal stem cell density gradient centrifugation separator 1 is transmitted the data after separation by gradient centrifugation digital simulation
Into simulation mesenchymal stem cell culture data collector 2, crucial information data is collected.It is dry thin to simulate medulla mesenchyma
Born of the same parents cultivate data collector 2 and are connected to data storage 3, and data storage 3 and mesenchymal stem cell surface antigen detect
Device 4 connects.Mesenchymal stem cell surface antigen detector 4 is connect with mesenchymal stem cell surface antigen contrast device 5,
Mesenchymal stem cell surface antigen contrast device 5 is connect with mesenchymal stem cell surface antigen analysis device 6, and passes through bone
Data can be back in data storage 3 and store by bone marrow-drived mesenchymal stem surface antigen analysis device 6.Mesenchymal stem cell
Surface antigen analysis device 6 is connect with mathematical statistics processor 7 and graph making device 8 respectively again.
The working principle of the invention is: will be required by simulation mesenchymal stem cell density gradient centrifugation separator 1
The data separating for the simulation mesenchymal stem cell wanted comes out, and passes data to simulation mesenchymal stem cell culture number
According in collector 2, collect the data separated, and compiled.The data gathered are transferred to data storage 3
In carry out storage preservation.It is sent data in mesenchymal stem cell surface antigen detector 4 again, carries out medulla mesenchyma
The Data Detection of stem cell surface antigen expression, will be detected and extracted with the data that antigen presentation first closes.By between marrow
Surface of mesenchymal stem cells antigen contrast device 5 is compared and analyzed with the data in data storage 3, is found out dry with medulla mesenchyma
The relevant biological nature of cell and the relevant data of value-added features.It is looked for by mesenchymal stem cell surface antigen analysis device 6
The influence degree size of different antigen presentations and antigen percentage size out, transfer data in data storage 3
It is saved.Later, the antigen data screened is sent in mathematical statistics processor 7 and carries out combing statistics, and carried out
Correlation analysis draws linear fit function curve by graph making device 8, so as to find out mesenchymal stem cell
In vitro culture and which kind of antigen presentation are more related.
Application of the invention is further described below with reference to concrete analysis.
Control method in simulation Bone Marrow Mesenchymal Stem Cells Transplantation external model building provided in an embodiment of the present invention,
Are as follows:
Step 1: will be between required simulation marrow by simulation mesenchymal stem cell density gradient centrifugation separator
The data separating of mesenchymal stem cells comes out, and passes data in simulation mesenchymal stem cell culture data collector, converges
Collect the data separated, and is compiled；Data collector can be collected data and separate, and carry out to data
The data classification method of classification uses sorting algorithm neural network based；
Step 2: the data gathered are transferred in data storage and carry out storage preservation, then send data to bone
In bone marrow-drived mesenchymal stem surface antigen detector, the Data Detection of mesenchymal stem cell surface antigen expression is carried out, it will
It is detected and is extracted with the data that antigen presentation first closes；Antigen detector detects data by internal single-chip microcontroller；
Step 3: it is compared by mesenchymal stem cell surface antigen contrast device and the data in data storage
Analysis, finds out biological nature relevant to mesenchymal stem cell and the relevant data of value-added features；
Step 4: the influence degree for finding out different antigen presentations by mesenchymal stem cell surface antigen analysis device is big
Small and antigen percentage size, transfers data in data storage and is saved；
Step 5: the antigen data screened being sent in mathematical statistics processor and carries out combing statistics, and is carried out
Correlation analysis draws linear fit function curve by graph making device, finds out the in vitro culture of mesenchymal stem cell
It is more related to which kind of antigen presentation.
In the step 1, sorting algorithm neural network based is used to the data classification method that data are classified,
Specifically: neural network sums to the amount of weighted input coefficient, is exported according to the comparison of final value and threshold value corresponding
Amount, input value X1, X2... ..., Xn, corresponding weight coefficient is respectively W1, W2... ..., Wn, read group total Xi*Wi, then produce
Excitation layer a=(X1*W1)+(X2*W2)+…+(Xi*Wi)+…+(Xn*Wn), wherein WiTo represent the weight coefficient in assessment models；Xi
The frequency of occurrences is recorded for each item；
Single-chip microcontroller uses improved POS algorithm, improved POS algorithm model are as follows:
In formula: wmaxAnd wminIndicate inertia weight maximum and minimum value, t indicates the number of iterations, ItermaxIndicate that maximum changes
Generation number；
In step 5, processor power consumption when carrying out the combing of data is larger, the dynamic power consumption appraising model of processor are as follows:
In formula: c is the number of processor core；N is VF grade locating for processor；VnFor in VFnUnder voltage value；I is hard
Part Case Number；EiFor the frequency of i-th of hardware event；Wdyn(i)For event EiCorresponding coefficient.
The above is only the preferred embodiments of the present invention, and is not intended to limit the present invention in any form,
Any simple modification made to the above embodiment according to the technical essence of the invention, equivalent variations and modification, belong to
In the range of technical solution of the present invention.
Claims (10)
1. the control method in a kind of simulation Bone Marrow Mesenchymal Stem Cells Transplantation external model building, which is characterized in that the mould
Control method in quasi- Bone Marrow Mesenchymal Stem Cells Transplantation external model building are as follows:
Step 1: by simulating mesenchymal stem cell density gradient centrifugation separator for required simulation medulla mesenchyma
The data separating of stem cell comes out, and passes data in simulation mesenchymal stem cell culture data collector, collects point
The data come are separated out, and are compiled；Data collector can be collected data and separate, and classify to data
Data classification method use sorting algorithm neural network based；
Step 2: the data gathered are transferred in data storage and carry out storage preservation, then are sent data between marrow
In surface of mesenchymal stem cells antigen detector, carry out the Data Detection of mesenchymal stem cell surface antigen expression, will with it is anti-
The data that original expression is first closed are detected and are extracted；Antigen detector detects data by internal single-chip microcontroller；
Step 3: it is compared point by the data in mesenchymal stem cell surface antigen contrast device and data storage
Analysis, finds out biological nature relevant to mesenchymal stem cell and the relevant data of value-added features；
Step 4: by mesenchymal stem cell surface antigen analysis device find out the influence degree size of different antigen presentations with
And antigen percentage size, it transfers data in data storage and is saved；
Step 5: the antigen data screened being sent in mathematical statistics processor and carries out combing statistics, and carries out correlation
Property analysis, linear fit function curve is drawn by graph making device, find out mesenchymal stem cell in vitro culture and which
Kind antigen presentation is more related.
2. the control method in the building of simulation Bone Marrow Mesenchymal Stem Cells Transplantation external model as described in claim 1, feature
It is, in the step 1, sorting algorithm neural network based is used to the data classification method that data are classified, specifically
Are as follows: neural network sums to the amount of weighted input coefficient, exports corresponding amount according to the comparison of final value and threshold value, defeated
Enter value X1, X2... ..., Xn, corresponding weight coefficient is respectively W1, W2... ..., Wn, read group total Xi*Wi, then excitation layer is produced
A=(X1*W1)+(X2*W2)+…+(Xi*Wi)+…+(Xn*Wn), wherein WiTo represent the weight coefficient in assessment models；XiFor each item
Record the frequency of occurrences；
In step 2, single-chip microcontroller uses improved POS algorithm, improved POS algorithm model are as follows:
In formula: wmaxAnd wminIndicate inertia weight maximum and minimum value, t indicates the number of iterations, I termaxIndicate greatest iteration time
Number；
In step 5, processor power consumption when carrying out the combing of data is larger, the dynamic power consumption appraising model of processor are as follows:
In formula: c is the number of processor core；N is VF grade locating for processor；VnFor in VFnUnder voltage value；I is hardware thing
Part number；EiFor the frequency of i-th of hardware event；Wdyn(i)For event EiCorresponding coefficient.
3. in simulation Bone Marrow Mesenchymal Stem Cells Transplantation external model building described in a kind of realization claim 1~2 any one
Control method computer program.
4. in simulation Bone Marrow Mesenchymal Stem Cells Transplantation external model building described in a kind of realization claim 1~2 any one
Control method information data processing terminal.
5. a kind of computer readable storage medium, including instruction, when run on a computer, so that computer is executed as weighed
Benefit requires the control method in the building of simulation Bone Marrow Mesenchymal Stem Cells Transplantation external model described in 1-2 any one.
6. the control in a kind of simulation Bone Marrow Mesenchymal Stem Cells Transplantation external model building of control method as described in claim 1
System processed, which is characterized in that the control system in the simulation Bone Marrow Mesenchymal Stem Cells Transplantation external model building is provided with
Mesenchymal stem cell density gradient centrifugation separator is simulated, by gradient centrifugation digital simulation, the data after separation are passed
It is handed in simulation mesenchymal stem cell culture data collector, collects crucial information data；It is dry to simulate medulla mesenchyma
Cell culture data collector is connected to data storage, data storage and mesenchymal stem cell surface antigen detector
Connection；Mesenchymal stem cell surface antigen detector is connect with mesenchymal stem cell surface antigen contrast device, marrow
Mescenchymal stem cell surface antigen contrast device is connect with mesenchymal stem cell surface antigen analysis device, and by filling between marrow
Data can be back in data storage by matter stem cell surface antigen analyzer to be stored；Mesenchymal stem cell surface antigen
Analyzer is connect with mathematical statistics processor and graph making device respectively again.
7. the control system in the building of simulation Bone Marrow Mesenchymal Stem Cells Transplantation external model as claimed in claim 6, feature
It is, the mesenchymal stem cell surface antigen detector, during detecting simulation culture, medulla mesenchyma is dry
The type and quantity of cell surface antigen.
8. the control system in the building of simulation Bone Marrow Mesenchymal Stem Cells Transplantation external model as claimed in claim 6, feature
It is, the mesenchymal stem cell surface antigen contrast device, for being compared with the data stored in data storage,
Analyze surface antigen presentation correlation.
9. a kind of carry simulates the control system in the building of Bone Marrow Mesenchymal Stem Cells Transplantation external model described in claim 6
Hematopoietic stem cell transplantation external model constructs terminal.
10. a kind of control system carried in simulation Bone Marrow Mesenchymal Stem Cells Transplantation external model building described in claim 6
Mesenchymal stem cell transplantation external model construct terminal.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811620417.2A CN109712667A (en) | 2018-12-28 | 2018-12-28 | Simulate the control method in the building of Bone Marrow Mesenchymal Stem Cells Transplantation external model |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811620417.2A CN109712667A (en) | 2018-12-28 | 2018-12-28 | Simulate the control method in the building of Bone Marrow Mesenchymal Stem Cells Transplantation external model |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109712667A true CN109712667A (en) | 2019-05-03 |
Family
ID=66259044
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811620417.2A Pending CN109712667A (en) | 2018-12-28 | 2018-12-28 | Simulate the control method in the building of Bone Marrow Mesenchymal Stem Cells Transplantation external model |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109712667A (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1576364A (en) * | 2003-07-29 | 2005-02-09 | 赵春华 | Establishment, identification and application of allogeneic bone marrow mesenchymal stem cell transplantation chimeric model |
| WO2009146495A1 (en) * | 2008-06-03 | 2009-12-10 | Sydney West Area Health Services | Method for predicting engraftment potential |
| CN101947133A (en) * | 2010-08-25 | 2011-01-19 | 新疆医科大学第一附属医院 | Method for constructing autologous adipose tissue-derived stem cell transplantation model for myocardial infarction animals |
| CN102994450A (en) * | 2012-11-27 | 2013-03-27 | 姜晓丹 | Construction method of in-vitro model for simulating mesenchymal stem cell transplantation |
| CN106934253A (en) * | 2011-06-10 | 2017-07-07 | 菲利普莫里斯生产公司 | For the system and method that network biological activity is evaluated |
-
2018
- 2018-12-28 CN CN201811620417.2A patent/CN109712667A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1576364A (en) * | 2003-07-29 | 2005-02-09 | 赵春华 | Establishment, identification and application of allogeneic bone marrow mesenchymal stem cell transplantation chimeric model |
| WO2009146495A1 (en) * | 2008-06-03 | 2009-12-10 | Sydney West Area Health Services | Method for predicting engraftment potential |
| CN101947133A (en) * | 2010-08-25 | 2011-01-19 | 新疆医科大学第一附属医院 | Method for constructing autologous adipose tissue-derived stem cell transplantation model for myocardial infarction animals |
| CN106934253A (en) * | 2011-06-10 | 2017-07-07 | 菲利普莫里斯生产公司 | For the system and method that network biological activity is evaluated |
| CN102994450A (en) * | 2012-11-27 | 2013-03-27 | 姜晓丹 | Construction method of in-vitro model for simulating mesenchymal stem cell transplantation |
Non-Patent Citations (4)
| Title |
|---|
| WEI WANG 等: ""Research on Multi-dimensional Simulation Data Management Model for Complicated Product "", 《ICECE "10: PROCEEDINGS OF THE 2010 INTERNATIONAL CONFERENCE ON ELECTRICAL AND CONTROL ENGINEERING》 * |
| 冀林华 等: ""慢性高原病患者骨髓间充质干细胞的体外扩增及鉴定"", 《青海医学院学报》 * |
| 李鹏: "模拟脑内移植环境追踪间充质干细胞移植功能重建体外实验研究", 《中国博士学位论文全文数据库 医药卫生科技辑》 * |
| 汪音 等: ""基于体外模型数据模拟和预测人体内群体药代参数"", 《中国临床药理学与治疗学》 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104794489B (en) | A kind of induction type image classification method and system based on deep tag prediction | |
| CN101315663B (en) | Nature scene image classification method based on area dormant semantic characteristic | |
| CN105975573B (en) | A kind of file classification method based on KNN | |
| CN101561868B (en) | Human motion emotion identification method based on Gauss feature | |
| CN109543203A (en) | A kind of Building Cooling load forecasting method based on random forest | |
| CN107563439A (en) | A kind of model for identifying cleaning food materials picture and identification food materials class method for distinguishing | |
| CN105608471A (en) | Robust transductive label estimation and data classification method and system | |
| CN110188047A (en) | A kind of repeated defects report detection method based on binary channels convolutional neural networks | |
| CN110503635B (en) | Hand bone X-ray film bone age assessment method based on heterogeneous data fusion network | |
| Ding et al. | Research on daily objects detection based on deep neural network | |
| CN103400160B (en) | A kind of zero training sample Activity recognition method | |
| CN112183643B (en) | Hard rock tension-shear fracture identification method and device based on acoustic emission | |
| CN108919067A (en) | A kind of recognition methods for GIS partial discharge mode | |
| CN107943830A (en) | A kind of data classification method suitable for higher-dimension large data sets | |
| CN113283353B (en) | Organoid cell counting method and system based on microscopic image | |
| CN109359550A (en) | Language of the Manchus document seal Abstraction and minimizing technology based on depth learning technology | |
| CN110897634A (en) | Electrocardiosignal generation method based on generation countermeasure network | |
| CN103150476B (en) | A kind of system efficiency evaluation method based on data station field | |
| CN108122173A (en) | A kind of conglomerate load forecasting method based on depth belief network | |
| CN109712667A (en) | Simulate the control method in the building of Bone Marrow Mesenchymal Stem Cells Transplantation external model | |
| CN112348360A (en) | Chinese medicine production process parameter analysis system based on big data technology | |
| CN109919101A (en) | A kind of user experience evaluation method and system based on cell phone client | |
| Ntoutsi et al. | A general framework for estimating similarity of datasets and decision trees: exploring semantic similarity of decision trees | |
| CN110309881A (en) | A kind of classification method of non-equilibrium data collection | |
| CN107292873A (en) | A kind of close degree detecting method of porcelain insulator ash based on color character |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |