| Issue |
2017
2016 National Convention on Sports Science of China
|
|
|---|---|---|
| Article Number | 01040 | |
| Number of page(s) | 4 | |
| DOI | https://doi.org/10.1051/ncssc/201701040 | |
| Published online | 11 January 2017 | |
Development trend of world men decathlon scores BP neural network analysis
1 Institute of Physical Education, Jilin Normal University, Siping 136000, China
2 Institute of Physical Education, Huanggang Normal University, Huangzhou 438000, China
a Corresponding author: 398704001@qq.com
b Corresponding author: tiyuxi@qq.com
Using BP neural network prediction model is established, with the methods of principal component analysis was carried out on the statistical data, obtained the four principal components. Based on the results of principal component analysis, the BP neural network model is established. With principal component analysis (pca) for the input, with the result of data processing to solve more than men's decathlon single movement data and the correlation of each single performance is stronger for shall not influence brought by the prediction accuracy of forecasting model, to improve the prediction precision of the prediction model, extending the application of the BP neural network prediction model.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.