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Health status assessment model of national higher education system based on BP neural network

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DOI: 10.23977/trance.2021.030208 | Downloads: 0 | Views: 57

Author(s)

Zekai Lai 1, Linjing Zhao 2, Zhen Xiao 3

Affiliation(s)

1 School of Computer and Communication Engineering, Northeastern University at Qinhuangdao, Qinhuangdao, Hebei, 066000
2 School of Economics, Northeastern University at Qinhuangdao, Qinhuangdao, Hebei, 066000
3 School of Management, Northeastern University at Qinhuangdao, Qinhuangdao, Hebei, 066000

Corresponding Author

Zekai Lai

ABSTRACT

Higher education is closely related to national development and is the driving force of national technological innovation. By data the United States, Australia, Japan, India and South Africa five countries, the establishment of a health evaluation model for national systems of higher education. PCA is used for dimensionality reduction, then constructing a BP- neural network and introducing a PSO into the BP-neural network model, the optimal population particle decoding is obtained, and a model is established to evaluate the health of the national higher education system, and the health of the United States, Australia, Japan, South Africa and India is obtained the ratings are 7, 7, 6, 3, and 1 respectively.

KEYWORDS

National Higher Education, PCA, BP neural network

CITE THIS PAPER

Zekai Lai, Linjing Zhao, Zhen Xiao, Health status assessment model of national higher education system based on BP neural network. Transactions on Comparative Education (2021) Vol. 3: 45-49. DOI: http://dx.doi.org/10.23977/trance.2021.030208

REFERENCES

[1] Tong Min hui. Comprehensive Evaluation of my country's Higher Education Performance——An Empirical Analysis Based on the Improved CRITIC-TOPSIS Method [J]. Financial Supervision, 2020(05): 56-59. 
[2] Better Information for Better College Choice & Institutional Performance [EB/OL]. (2017-01-28) [2020-02-20].

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