PREDICTION OF LANDSLIDE BASED ON CHAOS AND NEURAL NETWORKS
混沌和神经网络结合的滑坡预测方法

According to the nonlinear dynamical characteristics of landslide,with the prediction algorithms based on chaos and neural network,the embedding dimension is determined through data experiment,and the model of the chaotic process of landslide is set up. The experiment shows that this method can provide a satisfying result in the prediction of displacement monitoring data obtained in Maoping landslide of Qingjiang River. This method can avoid the difficulty to build the precise dynamics equations and determine the attractors dimension,and is of practicability in the prediction of landslide.