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Prediction model of sports performance based on grey BP neural network

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成果类型:
期刊论文
作者:
Deng, Kui;Xiao, Liu;Xu, Liang;Song, Haiyan*
通讯作者:
Song, Haiyan
作者机构:
[Xiao, Liu; Song, Haiyan; Xu, Liang; Deng, Kui] School of Physical Education, University of South China, Hengyang, 421001, China
语种:
英文
关键词:
BP neural network model - BP neural networks - Generalization performance - Grey prediction model - Prediction accuracy - Research results - Serial connection - Sports performance
期刊:
International Journal of u- and e- Service, Science and Technology
ISSN:
2005-4246
年:
2016
卷:
9
期:
8
页码:
87-96
机构署名:
本校为第一机构
院系归属:
体育学院
摘要:
The best annual performances of the world women’s pentathlons during 2005~2013 are statistically collected in this article, and the prediction of the best performance of the world women’s heptathlon in 2013 is taken as the research object. According to the best annual performances of the world women’s heptathlons during 2005~2012, the sports performance prediction model composed of GM(1,1) grey prediction model and BP neural network prediction model in serial connection is established in this article, and this model is applied to predict the best annual performance of the world women’s heptathlon in 2013. Through the comparison of the actual value of the best annual performance of the world women’s heptathlon in 2013 and the predicted value of the model, the application of the grey BP neural network prediction model in sports performance prediction is researched and analyzed in this article. The research result shows that for the sports performance prediction problem, the grey BP neural network prediction model has the features of high prediction accuracy, simple application and strong generalization performance, and this model is also superior to single GM(1,1) grey prediction model and BP neural network model. ©2016 SERSC.

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