Author(s)

Yihan Wang, Qingyu Wang, Ying Ding

Corresponding Author

Yihan Wang

ABSTRACT

In 1998, UNESCO pointed out in the Declaration of the World Conference on higher Education that the 21st century will be an era of more emphasis on quality, higher education has entered a new era from quantity expansion to quality development, and the expansion of higher education has become a hot spot in the development of higher education all over the world, which has a profound impact on all dimensions of society and higher education system. In this paper, the higher education health evaluation model and the higher education continuity model are established. The health grade is divided into 4 grades and the sustainability grade is divided into 4 grades. In this paper, the primary and secondary index system is established respectively, and the principal component analysis method is used to extract 12 indexes into 3 first-level indexes. Then, take the three indicators as the input and the higher education health assessment as the output. Then the health evaluation model of higher education is constructed by using BP neural network evaluation model. In order to solve the problem that the convergence speed of BP neural network is dependent on samples, genetic algorithm is used to improve the convergence of the network. Finally, the health level of higher education in five countries is obtained.

KEYWORDS

National Higher Education, Principal component analysis, GA-BP Neural Network Evaluation Model, Index system