Music Education to Rescue Psychological Stress in Social Crisis Based on Fuzzy Prediction Algorithm

In order to alleviate human drowsiness in social crisis, it is necessary to predict the psychological rescue function of music education in social crisis and improve the accurate monitoring and analysis ability of the psychological rescue function of music education in social crisis; this paper puts...

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Autor principal:	Jian Wang
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Computer software QA76.75-76.765
Acceso en línea:	https://doaj.org/article/e6cbfe04796941e4a999b352e79677cd
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spelling	oai:doaj.org-article:e6cbfe04796941e4a999b352e79677cd2021-11-08T02:36:19ZMusic Education to Rescue Psychological Stress in Social Crisis Based on Fuzzy Prediction Algorithm1875-919X10.1155/2021/2039235https://doaj.org/article/e6cbfe04796941e4a999b352e79677cd2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/2039235https://doaj.org/toc/1875-919XIn order to alleviate human drowsiness in social crisis, it is necessary to predict the psychological rescue function of music education in social crisis and improve the accurate monitoring and analysis ability of the psychological rescue function of music education in social crisis; this paper puts forward a prediction model of psychological rescue function of music education in social crisis based on quantitative statistical analysis. The prediction and control model of the psychological rescue function of music education in social crisis is constructed, the fuzzy prediction algorithm is combined, the psychological rescue function characteristics of music education in social crisis are analyzed, and the descriptive statistical analysis model of the psychological rescue function of music education in social crisis is established. Through the fuzzy feature extraction method, the big data feature detection of the psychological rescue function of music education in social crisis is carried out, the statistical analysis model of the psychological rescue function of music education in social crisis is established, the dynamic analysis and prediction of the psychological rescue function of music education in social crisis are carried out by combining fuzzy information mining and adaptive learning methods, and the dynamic feature mining of the psychological rescue function of music education in social crisis is carried out by adopting the quantitative statistical feature analysis method. Statistical characteristics of the psychological rescue function of music education in social crisis are established, dynamic monitoring and feature prediction according to the analysis of the psychological rescue function of music education in social crisis are carried out, the ambiguity prediction and feature optimization judgment ability of the psychological rescue function of music education in social crisis are improved, and accurate prediction of the psychological rescue function of music education in social crisis based on the optimization statistical analysis results is carried out. The simulation results show that the statistical analysis ability and fuzzy judgment ability of using this method to predict the psychological rescue function of music education in social crisis are better, which improves the pertinence and effectiveness of music education.Jian WangHindawi LimitedarticleComputer softwareQA76.75-76.765ENScientific Programming, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Computer software QA76.75-76.765
spellingShingle	Computer software QA76.75-76.765 Jian Wang Music Education to Rescue Psychological Stress in Social Crisis Based on Fuzzy Prediction Algorithm
description	In order to alleviate human drowsiness in social crisis, it is necessary to predict the psychological rescue function of music education in social crisis and improve the accurate monitoring and analysis ability of the psychological rescue function of music education in social crisis; this paper puts forward a prediction model of psychological rescue function of music education in social crisis based on quantitative statistical analysis. The prediction and control model of the psychological rescue function of music education in social crisis is constructed, the fuzzy prediction algorithm is combined, the psychological rescue function characteristics of music education in social crisis are analyzed, and the descriptive statistical analysis model of the psychological rescue function of music education in social crisis is established. Through the fuzzy feature extraction method, the big data feature detection of the psychological rescue function of music education in social crisis is carried out, the statistical analysis model of the psychological rescue function of music education in social crisis is established, the dynamic analysis and prediction of the psychological rescue function of music education in social crisis are carried out by combining fuzzy information mining and adaptive learning methods, and the dynamic feature mining of the psychological rescue function of music education in social crisis is carried out by adopting the quantitative statistical feature analysis method. Statistical characteristics of the psychological rescue function of music education in social crisis are established, dynamic monitoring and feature prediction according to the analysis of the psychological rescue function of music education in social crisis are carried out, the ambiguity prediction and feature optimization judgment ability of the psychological rescue function of music education in social crisis are improved, and accurate prediction of the psychological rescue function of music education in social crisis based on the optimization statistical analysis results is carried out. The simulation results show that the statistical analysis ability and fuzzy judgment ability of using this method to predict the psychological rescue function of music education in social crisis are better, which improves the pertinence and effectiveness of music education.
format	article
author	Jian Wang
author_facet	Jian Wang
author_sort	Jian Wang
title	Music Education to Rescue Psychological Stress in Social Crisis Based on Fuzzy Prediction Algorithm
title_short	Music Education to Rescue Psychological Stress in Social Crisis Based on Fuzzy Prediction Algorithm
title_full	Music Education to Rescue Psychological Stress in Social Crisis Based on Fuzzy Prediction Algorithm
title_fullStr	Music Education to Rescue Psychological Stress in Social Crisis Based on Fuzzy Prediction Algorithm
title_full_unstemmed	Music Education to Rescue Psychological Stress in Social Crisis Based on Fuzzy Prediction Algorithm
title_sort	music education to rescue psychological stress in social crisis based on fuzzy prediction algorithm
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/e6cbfe04796941e4a999b352e79677cd
work_keys_str_mv	AT jianwang musiceducationtorescuepsychologicalstressinsocialcrisisbasedonfuzzypredictionalgorithm
_version_	1718443146611785728

Music Education to Rescue Psychological Stress in Social Crisis Based on Fuzzy Prediction Algorithm

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