Proceedings of the 2nd International Conference on Electronics, Network and Computer Engineering (ICENCE 2016)

The sports performance based on variable weight and support vector machine

Authors
Qingbin Wang, Ling Jia
Corresponding Author
Qingbin Wang
Available Online September 2016.
DOI
https://doi.org/10.2991/icence-16.2016.160How to use a DOI?
Keywords
sports; 1000m running; prediction; screen; weight
Abstract

as sports performance is affected by many factors, it's crucial to choose effective divisors. A sports performance prediction model based on weight-SVM is proposed for factor selection and evaluation. Firstly, support vector machine is used to eliminate some invalid factors by use of cross validation MSE minimization principle; then mandatory screening is adopted to weight retention factor and quantize importance degree of retention factor; finally, SVM sports performance prediction model is constructed and applied to 1000m running performance prediction. Simulation result shows, compared with reference model, weight-SVM prediction has higher precision and it can screen and weight factor precisely and provide a new research idea for sports performance prediction.

Copyright
© 2016, 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 2nd International Conference on Electronics, Network and Computer Engineering (ICENCE 2016)
Series
Advances in Computer Science Research
Publication Date
September 2016
ISBN
978-94-6252-229-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/icence-16.2016.160How to use a DOI?
Copyright
© 2016, 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  - Qingbin Wang
AU  - Ling Jia
PY  - 2016/09
DA  - 2016/09
TI  - The sports performance based on variable weight and support vector machine
BT  - Proceedings of the 2nd International Conference on Electronics, Network and Computer Engineering (ICENCE 2016)
PB  - Atlantis Press
SP  - 872
EP  - 876
SN  - 2352-538X
UR  - https://doi.org/10.2991/icence-16.2016.160
DO  - https://doi.org/10.2991/icence-16.2016.160
ID  - Wang2016/09
ER  -