The Model of Evaluating Teaching Quality Based on BP Neural Network Algorithm

Author:

Bai Lei1,Guo Xiao Xin1

Affiliation:

1. North China Institute of Science and Technology

Abstract

Teaching quality evaluation plays a key role for universities to improve its teaching quality and becomes a hot spot research field for related researchers. In this paper, we established the evaluation model of teaching quality based on BP neural network. Firstly an evaluation index system of teaching quality is designed. Then, according to the system we design the structure of BP neural network, determine the parameters and give the algorithm description. Finally, we program and verify the validity of the model in MATLAB environment. The experimental results show that the model can evaluate teaching quality practically by the evaluation index.

Publisher

Trans Tech Publications, Ltd.

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