速度滑冰运动成绩预测的神经网络模型  

Application of the Nerve Network Model in Forecasting the Speed Skaters’ Performance

作　　者：李勇 闫生[1] 

机构地区：[1]哈尔滨工业大学体育部

出　　处：《冰雪运动》2010年第3期60-63,共4页China Winter Sports

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,对冬奥会女子速度滑冰500m、1000m、1500m、3000m、5000m第1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和实践具有重要的实际意义。As an important subject of nonlinear science,the nerve network model has been developed rapidly in recent years and has been applied in many fields. With a model of forecasting the competitive performance basing on the artificial intelligence nerve network model,the article has a forecast on the gold medallists＇ performance in ladies＇500m,1000m,1500m,3000m and 5000m speed skating competitions in Winter Olympics. The results show that the calculated value from forecast model simulate the real value in a good accuracy. Therefore,it＇s significant for having the research on competitive sports training theory and practice to establish the forecast model of nerve network.

关 键 词：速度滑冰 成绩预测 神经网络模型 

分 类 号：G862.1[文化科学—体育训练]