Higher education evaluation system based on BP neural network
DOI: 10.23977/aetp.2021.55002 | Downloads: 14 | Views: 1068
Author(s)
Wen Yu 1
Affiliation(s)
1 School of Mathematics and Physics, North China Electric Power University (Baoding), Baoding, Hebei 071000
Corresponding Author
Wen YuABSTRACT
The main purpose of this paper is to establish a model which can be applied to evaluate the health status of any country's higher education system, First of all, by collecting data, this paper selects 12 basic indexes for modeling. Then we use principal component analysis to reduce the dimension of these 12 indicators, and extracts three as evaluation indicators, which are named as the past achievements of national higher education. Finally we make evaluation rules, and then use BP neural network model to construct higher education health model. We evaluated six countries with three evaluation indicators as raw data to obtain their higher education health grades.
KEYWORDS
Higher Education system, BP neural network, Principal component analysisCITE THIS PAPER
Wen Yu. Higher education evaluation system based on BP neural network. Advances in Educational Technology and Psychology (2021) 5: 5-8. DOI: http://dx.doi.org/10.23977/aetp.2021.55002
REFERENCES
[1] Peng Yongjun, Coupling [J]. Between the Evolution of Quality View and the Evaluation of Higher education Jiangsu higher Education 2020(10): 8-15.
[2] Jian Hua Li, Anthony N.Michel, and Wolfgang Porod."Analysis and synthesis of a class neural networks: Linear systems operating on closed hypercube,"IEEE Trans. Circuits Syst. 36(11): 1405-1422, November 1989.
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