Author(s)

Yiming Zhu

Corresponding Author

Yiming Zhu

ABSTRACT

In the past four decades, the expansion of higher education has become a mainstream trend in the development of higher education in the world and has had a profound impact on all dimensions of society and the higher education system. From a global perspective, the proportion of people receiving higher education is getting higher and higher. Whether the health of the higher education system affects the future development of a country, so it is very important to establish a higher education health level evaluation system. This article builds evaluation models for the health status and sustainability of higher education in various countries by BP neural network and Genetic algorithm. Then use the model to evaluate higher education in all countries. Based on the evaluation results, this article provides targeted suggestions for the better development of the higher education system. The health evaluation model and sustainability evaluation model established in this article cannot only be evaluated in higher education, but also can be evaluated in various industries, such as politics, economy, military, and agriculture. The short-term and long-term evaluation systems are similar Combined, the evaluation results obtained are more accurate and objective, and have more reference value.

KEYWORDS

Higher education, BP neural network, Genetic algorithm