Journal of Chengdu Sport University ›› 2016, Vol. 42 ›› Issue (1): 78-82.doi: 10.15942/j.jcsu.2016.01.015
• SPORTS TRAINING AND COMPETITION • Previous Articles Next Articles
YANG Qing1, ZHANG Hui2
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Abstract: Using BP neural network and multiple regression, this study analyzed the technical and tactical ability of elite male table tennis players. Results show that: (1) The models based on both BP neural network and multiple regression are highly efficient in fitting and forecasting. The BP neural network-based model performs better than the multiple regression-based model in both aspects; (2) The primary technical and tactical ability of elite male players is their attack-after-service ability, and the second their rallying ability and receiving and blocking ability in serving rounds, the fourth their rallying ability in multiple rounds of serving and returning; (3) There is a compensation effect between table tennis technical and tactical abilities. In a match featuring different technical and tactical levels, a total score of over 13 points means the game is over.
Key words: BP Neural Network, Multiple Regression, Table Tennis, Technique and Tactics
CLC Number:
G846
YANG Qing, ZHANG Hui. Application of BP Neural Network and MultipleRegression in Table Tennis Technical and TacticalAbility Analysis[J]. Journal of Chengdu Sport University, 2016, 42(1): 78-82.
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URL: http://cdtyxb.cdsu.edu.cn/EN/10.15942/j.jcsu.2016.01.015
http://cdtyxb.cdsu.edu.cn/EN/Y2016/V42/I1/78