神经网络模型在运动成绩预测中的应用  

The Nerve Network Model Application in the Forecast of Sports Result

作　　者：李征宇[1] 闫生[1] 

机构地区：[1]哈尔滨工业大学体育部,黑龙江哈尔滨150001

出　　处：《哈尔滨体育学院学报》2009年第2期110-113,共4页Journal of Harbin Sport University

摘　　要：神经网络作为非线性科学的重要学科,近年来发展迅速,在很多领域都得到了广泛的应用。利用人工神经元网络建立运动成绩预测模型对奥运会男子100m第一名成绩进行预测,结果显示预测模型获得的计算值与实际值之间具有较高的拟和精度。因此,建立神经网络预测模型对研究竞技运动训练理论具有重要的实际研究意义。As an important subject of nonlinear science,model of nerve net has been developing rapidly.It is widely applied in many areas.Basing on nerve cell net of AI,people build up sports result forecast model.The forecast of the 100m man Olympic Games showed as the high accuracy of fit between the calculated result and the real number.So building the model of forecast nerve net has a significant meaning to the theory research of competitive sports training.

关 键 词：神经网络模型 BP算法 运动成绩 

分 类 号：G80-32[文化科学—运动人体科学]