Prediction of the First Tennis Serve Success Rate Based on Neural Network
- 10.2991/essaeme-16.2016.57How to use a DOI?
- Tennis, Serve, Neural Network, BP.
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.
- © 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 - 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 -