有色金属科学与工程2016，Vol.7Issue(3)：94-99,6.DOI:10.13264/j.cnki.ysjskx.2016.03.017
神经网络和模糊综合评判在边坡稳定性分析中的应用比较
Contrastive application of neural network and fuzzy comprehensive evaluation to slope stability analysis
摘要
Abstract
The BP neural network and fuzzy comprehensive evaluation were used to predict slope stability and the 6 indexes, such as friction angle, cohesive force, severe, slope angle, pore pressure ratio and slope height were used as the evaluation factors. The stability of the slope was respective evaluated by using BP neural network and fuzzy comprehensive evaluation combining with the examples of 60 slopes. The results show that the accuracy of BP neural network is more accurate, and the fuzzy comprehensive evaluation can be used to achieve the classification of evaluation.关键词
神经网络/模糊综合评判/边坡稳定性/BP/稳定性等级Key words
neural network/fuzzy comprehensive evaluation/slope stability/BP/stability grade分类
资源环境引用本文复制引用
黄永刚,张学焱,李雪珍,饶运章..神经网络和模糊综合评判在边坡稳定性分析中的应用比较[J].有色金属科学与工程,2016,7(3):94-99,6.基金项目
2011年度江西省安全生产重大课题 （）
