Abstrait

Study on the evaluation model of undergraduates’ ideological and political status based on BP neural network

Xia Xin, Wang Weiyu

Given the different defects of evaluation on undergraduates’ ideological and political status in terms of scientificity, objectivity and operability, fuzzy evaluation method and BP neural network were combined in this paper. Firstly, the evaluation index system and membership function were built according to the characteristics of the study object. Different variables were evaluated by means of dimensionless membership. Then undergraduates’ ideological and political status was evaluated by using the sound nonlinear evaluation ability of BP neural network. Empirical analysis shows that evaluating undergraduates’ ideological and political status by using BP neural network has good effect and high precision, thus providing a new way and basis for evaluating undergraduates’ ideological and political status.