Research on the application of RBF neural network in the evaluation of college English teaching quality
Xin Shen · 2022
Because of the diversity of teaching and students and the supervisory factors of the educational affairs department, it is difficult to be objective and fair in teaching quality evaluation. In order to solve the problems existing in the traditional teaching quality evaluation in colleges and universities and improve the accuracy of college teaching quality evaluation, this paper applies the RBF (Radial Basis Function) neural network to the evaluation of college English teaching quality. This paper builds a RBF neural network model for college English teaching quality evaluation, and verifies the accuracy of the RBF neural network through experiment. The results show that the RBF neural network established in this paper can evaluate the college English teaching quality well.