铅球运动员专项成绩的神经网络预测模型的构建

Study of Specific Performance Forecasting Model for Shot Putter Based on Neural Network

利用铅球运动员专项成绩与素质训练水平之间的相关关系,借助人工神经网络强大的函数映射能力,提出了铅球运动员专项成绩的神经网络预测模型。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,从而精确地预测出铅球运动员的专项成绩。并运用Matlab53开发出预测模型的计算机程序,该程序具有语言简单、运行速度快的特点。

Using the relation between specific performances and training levels of the shot putter and the strong mapping function of the artificial neural network, a specific performance forecasting model for shot putter based on neural network is established. This model overcomes the shortcomings of the multiple regression model and gray model, and thus it can more accurately reflect the relation between the training targets and specific performances than the multiple regression model and gray model, and further it provide more accurate forecasting results. The computer program for the forecasting model compiled with Matlab 5.3 is simple and runs fast.