A PREDICTION METHOD OF CHAOTIC TIME SERIES FOR SLOPE DEFORMATION

The parameters of the slope system are uncertain and random due to slope complexity, therefore, a series of chaos can occur in the course of slope evolution. The chaotic time series method is developed based on the chaotic theory and adopted in predicting slope deformation. The development of the prediction model and its analysis are demonstrated using the case study of Xintan landslide. The results indicate that this prediction method can get a better prediction and analysis accuracy than conventional time series method.