APPLICATION OF ARTIFICIAL NEURAL NETWORKS ON STABILITY EVALUATION OF SHIFO-TEMPLE LANDSLIDE

With the consideration of the influencing factors of stability of the slop, the forecasting model based on the artificial neural network is introduced, then the neural network trained by many existent project examples. During the training process, contrasting the results that trainied by different functions. At last, forecast the stability of Shifo-temple Ⅰ、Ⅱ landslides, which locate along the Gaoyang-Xiakou rebuild road that in Xingshan county in Hubei province. Numerical example illustrates that the forecasting model can provide more accurate analyzing results, and also illustrates that the artificial neural network not only have well validity in the forecasting of stability of the slop, but also have nicer development foreground.