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

<p>Firstly, this study uses a partial differential equation to conduct experimental research on the teaching effect of music education. Secondly, the convolutional neural network method is used to optimize the weighted factors in the traditional finite volume method. This makes the calculation results of the model more accurate under the condition of coarse particles. It is found that the model can solve Burgers and level set equations accurately and effectively. This method can evaluate the teaching effect of music education more accurately and improve students’ learning products of music.</p>
</abstract>

Firstly, this study uses a partial differential equation to conduct experimental research on the teaching effect of music education. Secondly, the convolutional neural network method is used to optimize the weighted factors in the traditional finite volume method. This makes the calculation results of the model more accurate under the condition of coarse particles. It is found that the model can solve Burgers and level set equations accurately and effectively. This method can evaluate the teaching effect of music education more accurately and improve students’ learning products of music.

Teaching Effect Evaluation of Music Education Based on Partial Differential Equation Model

Applied Mathematics and Nonlinear Sciences

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

Firstly, this study uses a partial differential equation to conduct experimental research on the teaching effect of music education. Secondly, the...

Teaching Effect Evaluation of Music Education Based on Partial Differential Equation Model

Pubblicato online: 02 giu 2023

Pagine: 1653 - 1662

Ricevuto: 22 apr 2022

Accettato: 10 ott 2022

DOI: https://doi.org/10.2478/amns.2023.1.00144

Parole chiave
Music teaching evaluation, Convolutional neural network model, Partial differential equation model, Burgers equation, Level set equation

© 2023 Xiaobing Zhang, published by Sciendo

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

Teaching Effect Evaluation of Music Education Based on Partial Differential Equation Model

Pubblicato online: 02 giu 2023

Pagine: 1653 - 1662

Ricevuto: 22 apr 2022

Accettato: 10 ott 2022

DOI: https://doi.org/10.2478/amns.2023.1.00144

Parole chiaveMusic teaching evaluation, Convolutional neural network model, Partial differential equation model, Burgers equation, Level set equation

© 2023 Xiaobing Zhang, published by Sciendo

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

Parole chiave
Music teaching evaluation, Convolutional neural network model, Partial differential equation model, Burgers equation, Level set equation