Design and implementation of Bilingual Teaching Evaluation system based on BP neural network

In order to evaluate the bilingual instructing process and help the university acquire timely feedback information from students, a Bilingual Teaching Evaluation System based on BP neural network is established. Based on the investigation and analysis of the bilingual instructing process in Nanchang University, an evaluation index system is built, which consists of 14 indices. Take the 14 evaluation indices as the input nodes, the evaluated result as the output, construct the evaluation network system, which trained with the sample data. The trained network was applied to evaluate the bilingual instructing process of course “The C Programming” and “Database System”, which proves the validity of the evaluation system. The comprehensive evaluation system was developed by JSP, which improves the usability and the feasibility of the system.