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/).

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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  -