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.