Construction of Evaluation Model of University Student Education Evaluation System and Its MATLAB Simulation Based on BP Neural Network Algorithm

Abstract

For BP neural network, it is easy to fall into a local optimum during the learning process. Using an improved algorithm to optimize its weights and thresholds, a classroom teaching quality evaluation model based on an improved-BP neural network is constructed, apply this algorithm to the actual teaching quality evaluation in a certain university, experiments show that this model can objectively evaluate the quality of classroom teaching comprehensively.