Artificial neural network simulation on prediction of clay slope stability based on fuzzy controller
WU Qi-hong · Journal of Central South University(Science and Technology) · 2009
Based on optimal consideration,the problem of abstracting rule of a fuzzy control system by introducing neural network was solved.A reliable learning procedure for the neural network based on BP algorithm was suggested and the relationship among the number of fuzzy sets and the complexity and accuracy of fuzzy controller was investigated.Furthermore,in order to obtain safety characteristics of slope with complicated working behaviours,the prediction of the slope stability was presented on the foregoing artificial neural network under fuzzy controller,and many samples were collected to carry on the network training.The results show that the prediction models are accurate and easy to operate.The safety factor is affected largely by the parameters of the slope stability such as the slope gradient,rubbing angle inside and coagulate force.Theoretical model can be used to study the uncertainty and nonlinearity in engineering.With the help of fuzzy controlling system which is applicable for model's adjustment,it is of convenience to simulate the working behavior of diverse cases accurately.