Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015

Athletic Performance Prediction Model Design Based on Grey BP Neural Network

Authors
Ling Jia, Qing-bin Wang
Corresponding Author
Ling Jia
Available Online December 2015.
DOI
https://doi.org/10.2991/icmmcce-15.2015.303How to use a DOI?
Keywords
Athletic Performance; Women’s Heptathlon; Grey BP Neural Network Prediction Model
Abstract
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 athletic 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 athletic performance prediction is researched and analyzed in this article. The research result shows that for the athletic 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.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

TY  - CONF
AU  - Ling Jia
AU  - Qing-bin Wang
PY  - 2015/12
DA  - 2015/12
TI  - Athletic Performance Prediction Model Design Based on Grey BP Neural Network
BT  - Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmcce-15.2015.303
DO  - https://doi.org/10.2991/icmmcce-15.2015.303
ID  - Jia2015/12
ER  -