Research on the Application of BP Neural Network in Vocal Music Teaching Quality Evaluation

To solve the problem that the evaluation of vocal music teaching is influenced by multiple factors and subjective factors in scoring, BP neural network is proposed to simulate the nonlinear mapping of various factors and establish the vocal music evaluation system. At the same time, aiming at the disadvantage of slow training speed of BP network, a momentum model with adjustment coefficient is put forward, and a new weight adjustment formula is given. The idea of the algorithm and the optimization measures it takes are summarized, the establishment of improved algorithm model is completed, and the steps of network training algorithm are realized. Finally, taking the vocal music evaluation system as the input, BP neural network is used to establish the teaching quality evaluation model. The simulation results show that the improved scheme has the characteristics of fast convergence, strong optimization ability and generalization ability, which effectively weakens the influence of human factors in the determination of index weight.