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基于BP神经网络的刘翔成绩与分栏时间预测模型研究
引用本文:刘志兰,龙斌,王阳春,张正红,朱红燕.基于BP神经网络的刘翔成绩与分栏时间预测模型研究[J].兰州铁道学院学报,2008,27(5).
作者姓名:刘志兰  龙斌  王阳春  张正红  朱红燕
作者单位:兰州交通大学体育部,武汉体育学院运动训练学教研室
基金项目:兰州交通大学‘青蓝'人才工程基金资助计划资助
摘    要: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。

关 键 词:专项成绩  神经网络  预测模型

Prediction Model of Liu Xiang's Special Achievements and the Time from Striding over One Hurdle to Another
LIU Zhi-lan,LONG Bin,WANG Yang-chun,ZHANG Zheng-hong,ZHU Hong-yan.Prediction Model of Liu Xiang's Special Achievements and the Time from Striding over One Hurdle to Another[J].Journal of Lanzhou Railway University,2008,27(5).
Authors:LIU Zhi-lan  LONG Bin  WANG Yang-chun  ZHANG Zheng-hong  ZHU Hong-yan
Institution:LIU Zhi-lan1,LONG Bin2,WANG Yang-chun1,ZHANG Zheng-hong1,ZHU Hong-yan1
Abstract: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.
Keywords:specific performance  neural network  forecasting model
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