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GRNN

于 2016-04-08 发布 文件大小:91KB
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  基于BP和GRNN神经网络的粮食产量预测研究,通过训练样本和测试样本的交叉验证,实现粮食产量预测效果的最佳化(Prediction of Grain Yield BP and GRNN based training through cross-validation and testing samples, to achieve the best effect of the Grain Production Forecast)

文件列表:

BP和GRNN粮食产量预测
....................\BP和GRNN结果图.docx,54457,2016-03-25
....................\main_bijiao.m,1442,2016-03-25
....................\main_BP.m,2469,2016-03-25
....................\main_GRNN.m,1894,2016-03-25
....................\程序运行说明.txt,170,2016-03-27
....................\粮食产量的8个影响因素.xls,22528,2016-03-25
....................\粮食总量和谷物、非谷物共3个量.xlsx,10759,2016-03-25
....................\误差表格.xlsx,17947,2016-03-25
....................\预测结果对比.xlsx,14064,2016-03-25

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