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。
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.
出处
《成都体育学院学报》
CSSCI
北大核心
2016年第1期78-82,共5页
Journal of Chengdu Sport University
关键词
BP神经网络
多元回归
乒乓球
技战术
BP Neural Network
Multiple Regression
Table Tennis
Technique and Tactics
