Health Evaluation Model of higher Education based on optimized BP Neural Network Model
DOI: 10.23977/aetp.2021.55003 | Downloads: 16 | Views: 962
Author(s)
Yidan Jing 1, Zhihua Liu 2, Sheng Yang 2
Affiliation(s)
1 College of mathematics and statistics, Changsha University of Science & Technology, Changsha, Hunan, 410114
2 College of automotive and mechanical engineering, Changsha University of Science & Technology, Changsha, Hunan, 410114
Corresponding Author
Yidan JingABSTRACT
This paper mainly studies the comprehensive evaluation of the development level of higher education system, and establishes the health evaluation model and sustainable evaluation model. First of all, this paper divides the indicators of higher education into three aspects, collects the data of 7 countries with different development levels, and establishes 11 indicators for evaluating the development quality of higher education. Principal component analysis is used to reduce 11 secondary indicators to 3 first-level indicators. Secondly, the BP neural network is used to construct three first-order indexes as input vectors, and genetic algorithm is used to improve the accuracy and convergence of the model.
KEYWORDS
Higher Education, GA-BP Neural Network Evaluation Model, Sustainability, Index systemCITE THIS PAPER
Yidan Jing, Zhihua Liu, Sheng Yang. Health Evaluation Model of higher Education based on optimized BP Neural Network Model. Advances in Educational Technology and Psychology (2021) 5: 9-14. DOI: http://dx.doi.org/10.23977/aetp.2021.55003
REFERENCES
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