The Establishment of Sorts Performance Prediction Model Based on BP Neural Network and Solution by SPSS
- DOI
- 10.2991/msie-13.2013.19How to use a DOI?
- Keywords
- BP neural network, long jumpers, specific performance, the prediction accuracy
- Abstract
Since there are various factors affecting the sports scores and difficulties for traditional sports prediction method to get a satisfactory prediction results, this thesis by using the correlation of the Long Jumpers achievements and the level of quality training wielding the powerful nonlinear mapping ability of the BP neural network, proposes a neural network model for predicting the long jump Jumpers' scores. Compared with traditional methods, this model makes a full use of the information contained in the data. Therefore the prediction accuracy has been greatly improved. This model also is a innovation of both ideas and methods to solve those complex posers which are difficult to be solved by using traditional mathematical, and it provides a theoretical basis of the scientific training for athletes.
- Copyright
- © 2013, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Xiaomei Qi PY - 2013/11 DA - 2013/11 TI - The Establishment of Sorts Performance Prediction Model Based on BP Neural Network and Solution by SPSS BT - Proceedings of the 2nd International Conference on Management Science and Industrial Engineering PB - Atlantis Press SP - 88 EP - 91 SN - 1951-6851 UR - https://doi.org/10.2991/msie-13.2013.19 DO - 10.2991/msie-13.2013.19 ID - Qi2013/11 ER -