Evaluation Model of IAP Education(IPM) in Colleges and Universities (CAU) Based on BP Neural Network and Grey Correlation Theory

Abstract

IPM in CAU is an important way for schools to teach and educate people, promote students' all-around development and improve their comprehensive quality. The ideological and moral level of college students determines the quality of talent training in the future. Therefore, it is of great significance to analyze and study the factors affecting the effect of Ideological and political (IAP) work in CAU. In this paper, the grey correlation theory and neural network technology are combined to establish the evaluation index system, and the BP neural network mapping method is used to determine the implicit node degree value, confidence interval value, and output error threshold to calculate the advantages and disadvantages of the results. Firstly, we introduce the role, educational channels, and educational principles of IPM in CAU, then study BP neural network and grey correlation theory and the evaluation model of IPM in CAU based on this theory, and investigate the application status of the model. The survey results show that the evaluation model of IPM in CAU based on BP neural network and grey correlation theory is favored by teachers in the three dimensions of education content, educational method, and educational goal.