Title: Research on an online teaching system for ethnic music courses incorporating fuzzy control and CRP algorithms

Authors: Zhihui Yu; Yifan Zhang

Addresses: The School of Music, ShiJiazhuang University, ShiJiazhuang, 050000, China ' The School of Music, ShiJiazhuang University, ShiJiazhuang, 050000, China

Abstract: With the continuous development of intelligent teaching, ethnic music teaching in colleges and universities began to try to use the online and offline teaching mode. However, with the continuous improvement of teaching requirements, the traditional teaching system gradually appeared an unsatisfactory state in the use of resources. Therefore, how to effectively improve the use of online teaching resources is the key to improve teaching quality. The emergence of cloud computing has solved the current problem of wasted network resources. In order to achieve resource optimisation and stability for online teaching of ethnic music courses, the study proposes a design scheme for an online teaching system incorporating fuzzy control and CRP algorithms. Firstly, the CRP algorithm is used to achieve resource scheduling, secondly, adaptive fuzzy control is used to enhance computational stability by, and finally, the two algorithms are combined to build an online teaching platform for ethnic music courses.

Keywords: adaptive fuzzy control; CRP; ethnic music; online teaching.

DOI: 10.1504/IJCSYSE.2024.137434

International Journal of Computational Systems Engineering, 2024 Vol.8 No.1/2, pp.10 - 19

Received: 07 Sep 2022
Accepted: 11 Nov 2022
Published online: 19 Mar 2024 *

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