Proceedings of the 2017 International Conference on Sports, Arts, Education and Management Engineering (SAEME 2017)

The Application of the Improved Chaos Algorithm in the Sports Performance Prediction

Authors
Suqiong Feng
Corresponding Author
Suqiong Feng
Available Online July 2017.
DOI
10.2991/saeme-17.2017.117How to use a DOI?
Keywords
Physical Training, Training plan, Chaos algorithm.
Abstract

With the continuous progress of the science, the physical training is also gradually scientific. As a kind of important sports phenomenon and rule, the statistics and the quantitative analysis method in the sports fieldwill be paid more and more attention by people. During the training process, using the scientific methods to predict the sports performance can find out the game rules of the players and make the training plans. In this paper, we use the chaos prediction method to predict the sports performance. In order to improve the performance of the algorithm, we improve the traditional chaos prediction algorithm and propose the improved chaos algorithm. According to the examples, we analyse the accuracy of the prediction.

Copyright
© 2017, 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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Volume Title
Proceedings of the 2017 International Conference on Sports, Arts, Education and Management Engineering (SAEME 2017)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
July 2017
ISBN
10.2991/saeme-17.2017.117
ISSN
2352-5398
DOI
10.2991/saeme-17.2017.117How to use a DOI?
Copyright
© 2017, 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  - Suqiong Feng
PY  - 2017/07
DA  - 2017/07
TI  - The Application of the Improved Chaos Algorithm in the Sports Performance Prediction
BT  - Proceedings of the 2017 International Conference on Sports, Arts, Education and Management Engineering (SAEME 2017)
PB  - Atlantis Press
SP  - 521
EP  - 526
SN  - 2352-5398
UR  - https://doi.org/10.2991/saeme-17.2017.117
DO  - 10.2991/saeme-17.2017.117
ID  - Feng2017/07
ER  -