APPLICATION OF GREY-NEURAL NETWORK MODEL TO LANDSLIDE DEFORMATION PREDICTION

According to the monotonously increasing characteristics and the nonlinear characteristics of landslide displacement time series,the displacement of landslide is decomposed into trend item and random item based on the responding composition model.The trend and random items of displacement time series are predicted by grey-neural network model;and the implementation process of grey-neural network model is discussed.As an example,the grey-neural network model is applied to the prediction of the short-term displacement of Maoping landslide based on the in-situ displacement data.The reasonable result shows the validity and feasibility of the grey-neural network model for landslide displacement prediction.