Evaluation Method of Rationality of Creative Genius Cultivation Pattern Based on a BP Neural Network

In order to realize the evaluation of the rationality of an innovative talent training mode, an evaluation model of the rationality of the innovative talent training mode based on a BP neural network is proposed. On the basis of clarifying the principle of the BP neural network model, according to t...

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Bibliographic Details
Published in:Computational intelligence and neuroscience 2022-09, Vol.2022, p.1-10
Main Authors: Li, Yong, Dong, Kailing, Wang, Qingyuan
Format: Article
Language:English
Subjects:
Algorithms
Analysis
Back propagation
Back propagation networks
Communication
Confidence intervals
Cooperation
Curricula
Education
Entrepreneurship education
Evaluation
Feature selection
Innovations
Machine learning
Methods
Multiple objective analysis
Neural networks
Normal distribution
Quantitative analysis
Rationality
Recombination
Regression analysis
Reliability analysis
Self evaluation
Statistical analysis
Training
Citations: Items that this one cites
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Summary:In order to realize the evaluation of the rationality of an innovative talent training mode, an evaluation model of the rationality of the innovative talent training mode based on a BP neural network is proposed. On the basis of clarifying the principle of the BP neural network model, according to the method of parameter multisource control analysis, the multi-objective characteristic analysis of the rationality of the innovative talent training mode is realized to measure the difference and balance between the two variables of the rationality of the innovative talent training mode. A BP neural network algorithm is designed to find the best feature subset, and a feature sequence sampling and recombination model is constructed. Through reliability evaluation and nonparametric quantitative feature estimation, quantitative analysis and evaluation of the rationality of the innovative talent training mode are realized. The test results show that the confidence level and reliability of the rationality evaluation of the innovative talent training mode using this method are high.
ISSN:1687-5265
1687-5273
DOI:10.1155/2022/4639308