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BP神经网络和多元回归方法在乒乓球技战术能力分析中的应用
引用本文:杨青,张辉.BP神经网络和多元回归方法在乒乓球技战术能力分析中的应用[J].成都体育学院学报,2016(1):78-82.
作者姓名:杨青  张辉
作者单位:1. 上海体育学院,上海,200438;2. 浙江大学,浙江 杭州,310028
摘    要:运用BP神经网络和多元回归对优秀男子乒乓球运动员的技战术能力进行了分析,结果显示:(1)BP神经网络和多元回归构建的技战术能力模型都具有较高的拟合和预测效能,但BP神经网络在拟合和预测精度上优于多元回归;(2)优秀男子乒乓球运动员第一重要技战术能力为发抢能力,第二重要为发球轮相持能力和接抢能力,接发球轮相持为第四重要能力;(3)乒乓球运动员技战术能力间存在补偿效应,各种技战术水平组合的比赛评定总分大于13分即可获得比赛胜利.

关 键 词:BP神经网络  多元回归  乒乓球  技战术

Application of BP Neural Network and Multiple Regression in Table Tennis Technical and Tactical Ability Analysis
YANG Qing,ZHANG Hui.Application of BP Neural Network and Multiple Regression in Table Tennis Technical and Tactical Ability Analysis[J].Journal of Chengdu Physical Education Institute,2016(1):78-82.
Authors:YANG Qing  ZHANG Hui
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 multi-ple regression are highly efficient in fitting and forecasting. The BP neural network-based model performs bet-ter 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.
Keywords:BP Neural Network  Multiple Regression  Table Tennis  Technique and Tactics
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