Research on Mathematics Teaching Quality Evaluation Via an Improved BP Neural Network

In order to enhance the quality of mathematics teaching, in this paper, we aim to accurately evaluate teaching quality using improved BP neural network. To evaluate the mathematics teaching quality, we build up an index system, which includes 1) teaching contents module, 2) teaching method module, 3) teaching attitude, and 4) teaching effect. Afterwards, structure of the mathematics teaching quality evaluation system is provided, which is made up of three parts, that is, 1) database module, 2) improved BP neural network, and 3) results display module. Next, we proposed a genetic algorithm based BP neural network model, and discuss how to utilize it to solve the teaching quality evaluation problem. In the end, we conduct experiments to make performance testing. Experimental results demonstrate the effectiveness of our method.