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The quality of education is the goal of higher education, and it is also the external response of various measures of higher education. Neural network can classify and divide similar problems in higher education, improve the quality of education and save this resource. In the process of higher education analysis, the complexity is relatively high and the content involves many points, so it is necessary to optimize it and simplify the analysis content and conditions. The results show that neural network can promote the evaluation of educational quality by more than 20%, make the educational satisfaction rate reach 85%, and promote the optimization of education and the upgrading of content. Therefore, endogenous network can provide corresponding support for the development of higher education.

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Research and Application of Higher Education Quality Assessment Algorithm by the Neural-Like Network Architecture

  • 会议论文

  • 发表日期：

    2026年

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  • Beibei Wang

摘要

The quality of education is the goal of higher education, and it is also the external response of various measures of higher education. Neural network can classify and divide similar problems in higher education, improve the quality of education and save this resource. In the process of higher education analysis, the complexity is relatively high and the content involves many points, so it is necessary to optimize it and simplify the analysis content and conditions. The results show that neural network can promote the evaluation of educational quality by more than 20%, make the educational satisfaction rate reach 85%, and promote the optimization of education and the upgrading of content. Therefore, endogenous network can provide corresponding support for the development of higher education.