Evaluation Method of Vocal Music Teaching Effect based on Computer-Aided Technology and BP Neural Network

There are many evaluation methods for the quality of vocal music classroom teaching. The evaluation of vocal music teacher's teaching effect needs to be evaluated from multiple angles. Whether students score for teachers, or the evaluation of the supervision group, the evaluation given is with some subjective factors. Therefore, it is particularly important to establish objective evaluation method of vocal music teaching effect. In this paper, based on the analysis of the traditional evaluation methods and the reasonable establishment of the evaluation system, the objective of each evaluation index, using the comprehensive evaluation vector as the input, through BP neural network output to get a reasonable score. It not only solves the problem of qualitative index and quantitative index in the comprehensive evaluation index system, but also effectively overcomes the problem of establishing complex mathematical model and mathematical analytical expression in the traditional evaluation process, and avoids artificial subjective arbitrariness, making the evaluation more accurate and effective. The simulation results show that the trained BP back propagation network can simulate a stable evaluation system. © 2022 CAD Solutions, LLC.