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应用BP神经网络算法对运动成绩预测的实证研究
引用本文:王宗平,孙光.应用BP神经网络算法对运动成绩预测的实证研究[J].南京体育学院学报(社会科学版),2006,20(4):109-111.
作者姓名:王宗平  孙光
作者单位:1. 南京理工大学体育部,江苏,南京,210094
2. 烟台师范学院体育学院,山东,烟台,264025
摘    要:人工神经网络具有很强的自训练学习和容错能力等优点,且BP网络的学习算法简单、学习能力强,其在实际中具有较为广泛的应用。鉴此应用BP神经网络对运动成绩进行预测,并结合实例说明了该方法的实施与应用。数值试验表明模型具有很高的预测精度,为运动成绩的预测提供了一种新的方法。

关 键 词:人工神经网络  预测  BP算法  运动成绩  统计检验
文章编号:1008-1909(2006)04-0109-03
收稿时间:04 18 2006 12:00AM
修稿时间:06 16 2006 12:00AM

Demonstration on the Athletic Achievements Forecasting Based on Back Propagation Neural Network
WANG Zong-ping,SUN Guang.Demonstration on the Athletic Achievements Forecasting Based on Back Propagation Neural Network[J].Journal of Nanjing Institute of Physical Education,2006,20(4):109-111.
Authors:WANG Zong-ping  SUN Guang
Abstract:An important contribution of Artificial Neural Network is the ability of learning to perform operations,not only for inputs exactly liking the training data,but also for new data that may be incorrect,and it have fine learning capability and simple learning algorithm,so the back propagation(BP) neural network is widely used in practice.The article adopts the BP method of artificial neural network to forecast athletic achievements,and it shows that the precision of the model is effective through learning some samples.It offers a new method to forecast athletic achievements.
Keywords:artificial neural network  forecast  back propagation algorithm  athletic achievements  statistical test  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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