Displacement predication of landslide is very important in control of landslide disaster. Considering the monotonously increasing character of the displacement time series of the landslide

a new intelligent prediction method combining grey system and evolutionary neural network (ENN) is proposed. In this method

based on the principles of displacement decomposition

the trend of displacement time series is extracted by grey system and the deviation of grey system is approximated by the ENN whose architecture and algorithm parameters evolve simultaneously through combining modified BP algorithm and immunized evolutionary programming proposed by first author. This new method is applied to Xintan landslide; and the results show that the generalization of the new method is good and it can predict the displacement of landslide very well.