Analysis and Research on Provincial Postgraduate Cultivation Performance Based on BP Neural Network

Abstract

According to relevant data, the comprehensive competitiveness and quality of graduate education in Henan Province are in the middle of the 31 provinces in China, and its graduate education has a great room for improvement. Through the research on the current situation of educational performance evaluation at home and abroad, and the analysis of the limitations in the evaluation process of postgraduate training in Henan province, we proposed a performance evaluation method based on BP neural network. This method uses the theory and technology of information theory, analytic hierarchy process, and BP neural network to establish an educational performance evaluation model. Through this model, the shortcomings of the existing performance evaluation methods of graduate student training are overcome, and performance evaluation methods that are closer to the actual situation are excavated, which provides a scientific decision-making reference for the performance evaluation of graduate education in Henan Province. This experiment uses the university education data of Henan Province as the experimental data test set. The experimental results show that this model has good generalization ability and can provide reference for the reform and construction of postgraduate education in Henan province.