Interval Prediction of Landslide Displacement Based on Bootstrap Method and LSSVM Model
In view of the uncertainty in landslide prediction and the fact that traditional point displacement prediction cannot effectively describe the reliability of prediction results,a landslide displacement interval prediction model based on Bootstrap method and LSSVM model is proposed. Taking Shuping landslide in Zigui county of the Three Gorges Reservoir area as an example,data of ZG85 monito-ring point including displacement,precipitation,and reservoir water level from January 2007 to December 2012 are selected for study. The results show that compared with the traditional deterministic point prediction model,the interval prediction model of landslide dis-placement can give consideration to both accuracy and reliability,providing a new idea for landslide disaster prediction.
landslideuncertaintyinterval predictionBootstrap methodleast squares support vector machine