Evaluation of slope stability based on GA-ANFIS

Lin Xianzhi,Xue Tao,Yu Peng,Chen Qing

Strategic Study of CAE ›› 2011, Vol. 13 ›› Issue (3) : 77 -81.

PDF (1139KB)
Strategic Study of CAE ›› 2011, Vol. 13 ›› Issue (3) : 77 -81.

Evaluation of slope stability based on GA-ANFIS

Author information +
History +
PDF (1139KB)

Abstract

Adaptive neuro-fuzzy inference system combines the interpretability of fuzzy reasoning and the ability of adaptability and self-learning of neural network, overcoming the enormous difficulties for slope stability analysis caused by the uncertainty of rock slope. At the same time, for the reasonable of parameter setting in fuzzy inference system, evaluation model of adaptive neuro-fuzzy inference based on genetic algorithm is established. It was shown that the results of GA-ANFIS model are consistent with field condition, which makes it be an effective method for slope stability evaluation.

Keywords

GA-ANFIS model / evaluation index / uncertainty / slope stability evaluation

Cite this article

Download citation ▾
Lin Xianzhi,Xue Tao,Yu Peng,Chen Qing. Evaluation of slope stability based on GA-ANFIS. Strategic Study of CAE, 2011, 13(3): 77-81 DOI:

登录浏览全文

4963

注册一个新账户 忘记密码

References

AI Summary AI Mindmap
PDF (1139KB)

36

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/