Applied Research of Fuzzy Neural Network Algorithm in Teaching Evaluation

Abstract

In order to improve the teaching level of the current colleges and universities in China, and establish the international first-class schools, various education classes carry out the college teaching quality assessment. In view of the limitations and progressiveness of the teaching quality assessment in the neural networks, this paper with a plenty of fuzzy information proposes a fuzzy neural network model, and organically combines self-adaption, recognition with fuzzy information processing, and carries out verification by the use of simulating calculation methods. Finally, the authors through this paper obtains that the fuzzy neural network has a better evaluation, and proves the scientificity, simplicity and operability of the method, thus achieving that the model has a broad application prospect.