QUANTIFICATION OF FAULT INFLUENCE FOR ANALYSIS OF SLOPE STABILITY BASED ON ARTIFICIAL NEURAL NETWORKS

Although analysis of slope stability based on artificial neural networks(ANN)has gained some significant results, it is basically limited in the stage of theory. So far it has not obtained a quite unified understanding about the selection and quantification of factors. Fault influence is ignored in most cases for it is hard to evaluate quantitatively. In this paper, Splintering Degree of Rock was taken into account in the ANN stability evaluation model of slope to evaluate the fault influence, which has definite geological basis. It is found that this method can solve the question of quantitative analysis for fault influence and improve the research of slope stability based on ANN.