水利水电科技进展2011，Vol.31Issue(3)：80-83,4.DOI:10.3880/j.issn.1006-7647.2011.03.022
GRNN在边坡稳定预测分析中的应用
Application of generalized regression neural network in prediction and analysis of slope stability
摘要
Abstract
The principles and influence factors of the algorithm of generalized regression neutral network (GRNN) were introduced. The influence and choice of the spread were discussed. The suitable value of the spread was searched out from all the samples according to the LOO across validity method. It was proved that the suitable value of the spread could greatly improve the generalization ability of the network. The method of GRNN was applied to the evaluation of slope stability of 82 examples. The results show that the GRNN model is simpler and more accurate than the BPNN models in prediction and analysis of slope stability.关键词
广义回归神经网络/光滑因子/边坡稳定预测Key words
generalized regression neural network/ spread/ prediction of slope stability分类
建筑与水利引用本文复制引用
狄圣杰,李晓敏,魏樯..GRNN在边坡稳定预测分析中的应用[J].水利水电科技进展,2011,31(3):80-83,4.基金项目
国家自然科学基金(50979030,50911130366) （50979030,50911130366）
