<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>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.</p>
</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.

The discrimination of college music teaching level based on wave equation

Department of Art Puyang Vocational and Technical College

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

{"article-title":"The discrimination of college music teaching level based on wave equation"}

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...

The discrimination of college music teaching level based on wave equation

Pubblicato online: 06 giu 2023

Pagine: 1801 - 1808

Ricevuto: 20 giu 2022

Accettato: 18 nov 2022

DOI: https://doi.org/10.2478/amns.2023.1.00283

Parole chiave
Wave equation, College music, Teaching level, Multiple classification method

© 2023 Aiping Wang, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

The discrimination of college music teaching level based on wave equation

Pubblicato online: 06 giu 2023

Pagine: 1801 - 1808

Ricevuto: 20 giu 2022

Accettato: 18 nov 2022

DOI: https://doi.org/10.2478/amns.2023.1.00283

Parole chiaveWave equation, College music, Teaching level, Multiple classification method

© 2023 Aiping Wang, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Parole chiave
Wave equation, College music, Teaching level, Multiple classification method