Abstract: The displacement of the landslide is affected by many nonlinear factors. The prediction of the landslide displacement, which is important for analyzing the development of landslide, is difficult but important. In this paper, wavelet theory and BP neural network were applied to predict the displacement of the landslide. Since the displacement of the landslide comprises accidental factors, such as rainfall and construction vibration, the prediction of the landslide was disturbed. In this paper, the displacement was de-noised by using wavelet theory, and the useful part was extracted. The data was then used to predict by using BP neural network. According to the result, the error between the predicted data and the real data was located in 2%~3%.It is proved that the methods used in this paper can be successfully used in prediction of the landslide displacement.