Prediction and Evaluation Model of Physical Training for Volleyball Players’ Effect Based on Grey Markov Theory

Physical competition is becoming the new focus of volleyball in an increasingly perfect technical and tactical system. Unfortunately, poor physical fitness is a recognized weakness of volleyball players and a critical factor that has restricted the rapid development of volleyball for a long time. Th...

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Main Author: Chengcheng Guo
Format: Article
Language:English
Published: Hindawi Limited 2021-01-01
Series:Scientific Programming
Online Access:http://dx.doi.org/10.1155/2021/6147032
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spelling doaj-2a391d504c3246c7af117071f39c69db2021-09-27T00:52:05ZengHindawi LimitedScientific Programming1875-919X2021-01-01202110.1155/2021/6147032Prediction and Evaluation Model of Physical Training for Volleyball Players’ Effect Based on Grey Markov TheoryChengcheng Guo0Department of Public EducationPhysical competition is becoming the new focus of volleyball in an increasingly perfect technical and tactical system. Unfortunately, poor physical fitness is a recognized weakness of volleyball players and a critical factor that has restricted the rapid development of volleyball for a long time. This paper proposes a grey Markov model-based approach to improve the evaluation ability of physical training. It aims to construct an empirical analysis model by combining statistical results and analyzing the evaluation parameters for physical training effects. The sports parameter analysis method is adopted to establish an optimal model of these parameters. Finally, a distribution model of moments of inertia combined with fuzzy information fusion’s feature extraction method is proposed for the distributed reconstruction of physical training. The optimization of training effects based on parameter optimization and construction of a grey Markov model enhances the physical training of volleyball players.http://dx.doi.org/10.1155/2021/6147032
collection DOAJ
language English
format Article
sources DOAJ
author Chengcheng Guo
spellingShingle Chengcheng Guo
Prediction and Evaluation Model of Physical Training for Volleyball Players’ Effect Based on Grey Markov Theory
Scientific Programming
author_facet Chengcheng Guo
author_sort Chengcheng Guo
title Prediction and Evaluation Model of Physical Training for Volleyball Players’ Effect Based on Grey Markov Theory
title_short Prediction and Evaluation Model of Physical Training for Volleyball Players’ Effect Based on Grey Markov Theory
title_full Prediction and Evaluation Model of Physical Training for Volleyball Players’ Effect Based on Grey Markov Theory
title_fullStr Prediction and Evaluation Model of Physical Training for Volleyball Players’ Effect Based on Grey Markov Theory
title_full_unstemmed Prediction and Evaluation Model of Physical Training for Volleyball Players’ Effect Based on Grey Markov Theory
title_sort prediction and evaluation model of physical training for volleyball players’ effect based on grey markov theory
publisher Hindawi Limited
series Scientific Programming
issn 1875-919X
publishDate 2021-01-01
description Physical competition is becoming the new focus of volleyball in an increasingly perfect technical and tactical system. Unfortunately, poor physical fitness is a recognized weakness of volleyball players and a critical factor that has restricted the rapid development of volleyball for a long time. This paper proposes a grey Markov model-based approach to improve the evaluation ability of physical training. It aims to construct an empirical analysis model by combining statistical results and analyzing the evaluation parameters for physical training effects. The sports parameter analysis method is adopted to establish an optimal model of these parameters. Finally, a distribution model of moments of inertia combined with fuzzy information fusion’s feature extraction method is proposed for the distributed reconstruction of physical training. The optimization of training effects based on parameter optimization and construction of a grey Markov model enhances the physical training of volleyball players.
url http://dx.doi.org/10.1155/2021/6147032
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