Analysis of Performance Evaluation Model for Higher Education Informatization by Means of PLS-BP Model

Kunjing Dong,Dan Zhang,Xu Liu,Dan Guo,Liang Gao

doi:10.1155/2022/9239812

Abstract

In order to improve the intelligent level of higher education informatization, a novel performance evaluation model of higher education informatization by means of PLS-BP model is proposed. The principles of partial least squares (PLS) method and back propagation (BP) neural network are introduced firstly. The main components of the data are extracted by PLS method, and then combined with BP neural network, the PLS-BP model is constructed. At the end of the article, the PLS-BP evaluation model is simulated and analyzed. From the comparison results, the error between the PLS-BP evaluation model and traditional performance evaluation is relatively small, and the maximum relative error is 2.32%. The comparison results verify the accuracy of the PLS-BP model. This model presented in this paper provides a new way for the performance evaluation of higher education informatization.

Highlights

Higher education can serve science and technology and promote the rapid development of economy and society
As can be seen from the comparison results of scores in Figure 5(a), the results based on partial least squares (PLS)-back propagation (BP) evaluation model are closer to the traditional results than those based on BP model
Combined with PLS method and BP neural network, a performance evaluation model of higher education informatization based on PLS-BP model is proposed

Summary

Introduction

Higher education can serve science and technology and promote the rapid development of economy and society. In order to identify the dynamic short-term performance behavior of enterprise employees, Li et al [24] proposed a BP neural network fuzzy system combined performance evaluation model. It overcomes the influence of factors such as potential value and performance changes on the results of performance evaluation. Yang et al [25] introduced BP neural network model in the research process of higher education teaching management evaluation. In view of the above problems, this paper proposes a performance evaluation model for higher education informatization by means of PLS-BP model. At the end of the article, the PLS-BP evaluation model is simulated and analyzed

Principle and Data Processing of PLS-BP Method

Construction of Evaluation Model

Results and Discussion

Conclusion