摘要
将Elman动态回归神经网络预测方法应用于男子100m自由泳成绩的预测,通过对自1972年历届奥运会男子100m自由泳决赛成绩的历史数据归一化处理,组成一个从输入到输出的非线性映射,并利用MATLAB软件对其进行学习与训练的仿真实验,证明Elman神经网络可以较精确的应用于游泳成绩的预测。
The prediction method of Elman dynamic regression neural network was applied in prediction of performance of men's 100m freestyle,and a nonlinear mapping from the input to the output was constituted through the normalization processing of historical data of the final results of the Olympic men's 100m freestyle since 1972,it was studied and simulation experiment was trained by using MATLAB software,and then it proved that Elman neural network could be more precisely applied in prediction of swimming performance.
出处
《价值工程》
2011年第8期203-203,共1页
Value Engineering