Prediction of the First Tennis Serve Success Rate Based on Neural Network

DOI

10.2991/essaeme-16.2016.57How to use a DOI?

Keywords

Tennis, Serve, Neural Network, BP.

Abstract

The first serve success rate play very important position in tennis. In the thesis, we use the time sequence of tennis competition as the statistical data to predict the technical statistical indicators for the tennis player based on BP neural network algorithm. Our study aims at discussing the availability and applications of the BP neural network in the score 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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TY  - CONF
AU  - XiBin Xu
PY  - 2016/08
DA  - 2016/08
TI  - Prediction of the First Tennis Serve Success Rate Based on Neural Network
BT  - Proceedings of the 2016 International Conference on Economics, Social Science, Arts, Education and Management Engineering
PB  - Atlantis Press
SP  - 277
EP  - 280
SN  - 2352-5398
UR  - https://doi.org/10.2991/essaeme-16.2016.57
DO  - 10.2991/essaeme-16.2016.57
ID  - Xu2016/08
ER  -