Artificial Neural Network Model for Discrimination of Stability of Ancient Landslide in Impounding Area of Three Gorges Project, China

作     者：Zhou Pinggen China Institute of Geo environment Monitoring, Beijing 100081 

作者机构：China Institute of Geo-environment Monitoring Beijing 100081 

出 版 物：《Journal of China University of Geosciences》 (中国地质大学学报（英文版）)

年 卷 期：2003年第14卷第2期

页      面：161-165页

核心收录：

学科分类：08[工学] 0837[工学-安全科学与工程] 

基　　金：ThestudyissupportedbyFoundationforDevelopmentofGeologicalSciencesandTechniquesofChina (CFDG Project 950 4 ) 

主　　题：ancient landslide stability artificial neural network model the Three Gorges. 

摘      要：The factors of geomorphology, geological setting, effect of ground water and environment dynamic factors (e.g. rainfall and artificial water recharge) should be integrated in the discrimination of the stability of the ancient landslide. As the criterion of landslide stability has been studied, the artificial neural network model was then applied to discriminate the stability of the ancient landslide in the impounding area of the Three Gorges project on the Yangtze River, China. The model has the property of self adaptive identifying and integrating complex qualitative factors and quantitative factors. The results of the artificial neural network model are coincided well with what were gained by classical limit equilibrium analysis (the Bishop method and Janbu method) and by other comprehensive discrimination methods.