Online Education and Wireless Network Coordination of Electronic Music Creation and Performance under Artificial Intelligence

This paper is aimed at studying the online education and wireless network collaboration on electronic music creation and performance under artificial intelligence (AI). This paper uses a fuzzy clustering algorithm (FCA), designs the sensor network-related equipment, and uses AI to design an electron...

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Autores principales:	Ning Xu, Yuanyuan Zhao
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi-Wiley 2021
Materias:	Technology T Telecommunication TK5101-6720
Acceso en línea:	https://doaj.org/article/13db8509a59541a3bdba83cc6a07a1ff
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spelling	oai:doaj.org-article:13db8509a59541a3bdba83cc6a07a1ff2021-11-29T00:56:47ZOnline Education and Wireless Network Coordination of Electronic Music Creation and Performance under Artificial Intelligence1530-867710.1155/2021/5999152https://doaj.org/article/13db8509a59541a3bdba83cc6a07a1ff2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/5999152https://doaj.org/toc/1530-8677This paper is aimed at studying the online education and wireless network collaboration on electronic music creation and performance under artificial intelligence (AI). This paper uses a fuzzy clustering algorithm (FCA), designs the sensor network-related equipment, and uses AI to design an electronic music creation system. The analysis of simulation experiments suggests that under the premise of increasing the number of neighbors, the Mean Absolute Error (MAE) and Mean Squared Error (MSE) of collaborative filtering and fuzzy C-means clustering algorithms show a downward trend. However, with the same number of neighbors, the filtering matching algorithm is greater than FCA regarding the mean values of MAE and MSE. Meanwhile, on the electronic music performance system of AI, the digital module is designed and the sound data are imaged on the oscilloscope, and the collaboration of electronic music online education and wireless network is completed. The following conclusion is drawn: modularizing the creative mode of intelligent electronic music has achieved higher computational efficiency. Through the oscilloscope, the sound feature is converted into the image structure, and the corresponding sound and image mode is formed, which realizes the purpose of online electronic music intelligent matching and optimizes the effect of online education. In the AI environment, the matching degree of verification electronic music curriculum resources is better than traditional matching algorithms, and the accuracy is higher.Ning XuYuanyuan ZhaoHindawi-WileyarticleTechnologyTTelecommunicationTK5101-6720ENWireless Communications and Mobile Computing, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Technology T Telecommunication TK5101-6720
spellingShingle	Technology T Telecommunication TK5101-6720 Ning Xu Yuanyuan Zhao Online Education and Wireless Network Coordination of Electronic Music Creation and Performance under Artificial Intelligence
description	This paper is aimed at studying the online education and wireless network collaboration on electronic music creation and performance under artificial intelligence (AI). This paper uses a fuzzy clustering algorithm (FCA), designs the sensor network-related equipment, and uses AI to design an electronic music creation system. The analysis of simulation experiments suggests that under the premise of increasing the number of neighbors, the Mean Absolute Error (MAE) and Mean Squared Error (MSE) of collaborative filtering and fuzzy C-means clustering algorithms show a downward trend. However, with the same number of neighbors, the filtering matching algorithm is greater than FCA regarding the mean values of MAE and MSE. Meanwhile, on the electronic music performance system of AI, the digital module is designed and the sound data are imaged on the oscilloscope, and the collaboration of electronic music online education and wireless network is completed. The following conclusion is drawn: modularizing the creative mode of intelligent electronic music has achieved higher computational efficiency. Through the oscilloscope, the sound feature is converted into the image structure, and the corresponding sound and image mode is formed, which realizes the purpose of online electronic music intelligent matching and optimizes the effect of online education. In the AI environment, the matching degree of verification electronic music curriculum resources is better than traditional matching algorithms, and the accuracy is higher.
format	article
author	Ning Xu Yuanyuan Zhao
author_facet	Ning Xu Yuanyuan Zhao
author_sort	Ning Xu
title	Online Education and Wireless Network Coordination of Electronic Music Creation and Performance under Artificial Intelligence
title_short	Online Education and Wireless Network Coordination of Electronic Music Creation and Performance under Artificial Intelligence
title_full	Online Education and Wireless Network Coordination of Electronic Music Creation and Performance under Artificial Intelligence
title_fullStr	Online Education and Wireless Network Coordination of Electronic Music Creation and Performance under Artificial Intelligence
title_full_unstemmed	Online Education and Wireless Network Coordination of Electronic Music Creation and Performance under Artificial Intelligence
title_sort	online education and wireless network coordination of electronic music creation and performance under artificial intelligence
publisher	Hindawi-Wiley
publishDate	2021
url	https://doaj.org/article/13db8509a59541a3bdba83cc6a07a1ff
work_keys_str_mv	AT ningxu onlineeducationandwirelessnetworkcoordinationofelectronicmusiccreationandperformanceunderartificialintelligence AT yuanyuanzhao onlineeducationandwirelessnetworkcoordinationofelectronicmusiccreationandperformanceunderartificialintelligence
_version_	1718407631510437888

Online Education and Wireless Network Coordination of Electronic Music Creation and Performance under Artificial Intelligence

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