Evaluation of slope stability based on genetic algorithm and fuzzy neural network

Slope engineering is a dynamic,fuzzy,open and complicated nonlinear system,which makes it difficult to evaluate complicated slopes conforming to reality by the traditional analysis method.The factors which control and affect slope stability are random and fuzzy variables.As artificial neural network can consider both quantitative and qualitative factors,it is suitable to solve the uncertain problems,such as the estimation of slope stability.In consideration of influencing factors of the slope stability,a fuzzy neural network model based on genetic algorithm is established to predict slope stability,and many engineering data are collected to train and examine the model.Compared with the BP neural network,the presented model has higher predicting accuracy.