The discrimination of college music teaching level based on wave equation

Abstract

In order to improve the teaching level of college music teachers, in this essay the discrimination of college music teaching level based on the wave equation is put forward. In this study, the advantages of pattern recognition are utilized to establish a college music teaching level evaluation model based on wave equation. The wave equation is adopted to replace the complex function representation in the traditional statistical method, so as to reduce the influence of subjective factors on teaching level evaluation and explore the potential factor correlation in the evaluation process. The linear fuzzy indivisible samples are mapped to high dimensional space to make them linearly divisible, which avoids the traditional process from induction to deduction in essence and simplifies the classification process of nonlinear problems. Structural risk minimization theory ensures global optimization of segmentation and reduces expected risk. The results of this study can be combined with existing research methods to enhance the objectivity of evaluation methods and the accuracy of evaluation results, which has certain reference significance for improving teachers’ teaching level and promoting the improvement of teaching quality.