Analysis of Slope Stability Based on DE-BP Neural Network

被引：2

作者：

Bu, Narui ^{[1
]}

Bai, Runshan ^{[1
]}

Li, Zhangzhen ^{[1
]}

Lin, Dezhong ^{[1
]}

机构：

[1] Hebei Inst Architectural Engn, HeBei Inst Architecture & Civil Engineer, Zhangjiakou 075024, Peoples R China

来源：

ADVANCED MECHANICAL DESIGN, PTS 1-3 | 2012年 / 479-481卷

关键词：

Neural Network; Different Evolution; Stability; Analysis;

D O I：

10.4028/www.scientific.net/AMR.479-481.1263

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Analysis of slope stability based on BP neural network, the analytical model of slope stability is built. Aiming at the defects that BP neural network is likely to fall into local optimum in the progress of parameter optimization; DE is associated to put forward the DE-BP neural network prediction model that is coded by real numbers. The results show that this model has a high precision for the analysis of slope stability. It is feasible and efficient to analyze slope stability based on BP neural network.

引用

页码：1263 / 1267

页数：5