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关于构建铅球运动员成绩的人工神经网络预测模型的研究
引用本文:赵永寿.关于构建铅球运动员成绩的人工神经网络预测模型的研究[J].北京体育大学学报,2006,29(4):486-488.
作者姓名:赵永寿
作者单位:陕西教育学院体育系,陕西,西安,710061
摘    要:为研究人工神经网络模型对成绩预测的效果,建立人工神经预测模型,对铅球运动员的成绩进行评估和预测.结果表明:该模型克服了多元回归模型和灰色模型需要事先确定数学模型的缺点,更为准确地映射出运动员素质训练指标与专项运动成绩之间的函数关系,从而更精确地预测出铅球运动员的专项成绩.

关 键 词:铅球运动员  专项成绩  神经网络  预测模型  铅球运动员  运动员成绩  工神经网络  神经预测模型  研究  Neural  Network  Shot  Forecasting  Model  Performance  Specific  专项成绩  函数关系  专项运动成绩  训练指标  素质  映射  数学模型  灰色模型  多元回归模型  结果
文章编号:1007-3612(2006)04-0486-03
修稿时间:2004年11月30日

Research on the Specific Performance Forecasting Model for Shot Throwers through Neural Network
ZHAO Yong-shou.Research on the Specific Performance Forecasting Model for Shot Throwers through Neural Network[J].Journal of Beijing Sport University,2006,29(4):486-488.
Authors:ZHAO Yong-shou
Abstract:In order to observe the effects of the artificial neural network,a specific performance forecasting model was established to evaluate and forecast the results of shot throwers.The results of this study indicated that the specific performance forecasting model overcame the shortcomings of multiple regression model and grey model which need to define the mathematics model,thereby accurately reflecting the relation between the training targets and specific performances compared with the multiple regression model and gray model,in order to provide more accurate forecasting results.
Keywords:shot putter  specific performance  neural network  forecasting model  
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