Abstract:A new multi-scale deformation prediction method is proposed based on improved local mean decomposition (LMD) and weighted kernel function relevance vector machine algorithm (RVM). The deformation data is decomposed into several physical deformation components by LMD, and each deformation component is predicted by RVM optimized by genetic algorithm. Finally, a multi-scale deformation prediction method is established and applied to dam deformation prediction by adding the prediction results of each deformation component. The experimental results show that the improved LMD-RVM method is superior to the BP neural network method, RVM method and the improved EMD-RVM method in many precision indexes, which proves the effectiveness and reliability of the new method.
LUO Yiyong,XU Zhikuan,ZHANG Liting et al. Deformation Prediction Based on Local Mean Decomposition and Relevance Vector Machine[J]. jgg, 2018, 38(11): 1128-1132.