基于BP神经网络的刘翔成绩与分栏时间预测模型研究

Prediction Model of Liu Xiang's Special Achievements and the Time from Striding over One Hurdle to Another

建立了基于BP神经网络的刘翔专项成绩与分栏时间预测模型。结果表明:该模型预测精度高、速度快,能够有效地用于刘翔的训练调控中去。模型预测的刘翔专项成绩和分栏时间训练对照表,可为刘翔的训练乃至世界优秀跨栏运动员的训练提供理论参考。

The predicable model of Liu Xiang＇ s special achievements and time from striding over one hurdle to another is proposed based on BP neural network. The results show that the model is accuracy and fast for prediction and can be effectively applied to control and adjust training for Liu Xiang. The training comparison table about Liu Xiang＇s special achievements and time from striding over one hurdle to another, which has been gained by the developed model, provides the theoretical reference for the training of Liu Xiang as well as other world excellent hurdle athletes.