APPLICATION OF DYNAMIC ROBUST SUPPORT VECTOR MACHINE TO PREDICTION OF DAM DEFORMATION
Li Xiao 1) ; and Xu Jinjun 2)
1)College of Civil Engineering and Urban Construction,Jiujiang University, Jiujiang 3320052)School of Geodesy and Geomatics, Wuhan University, Wuhan 430079
Abstract:In view of the deficiencies of support vector machine(SVM),it has been improved in two aspects.On the one hand, the paper presents a robust LSSVM model and its accuracy and reliability are verified through the simulation test.On the other hand,with respects of the nature of mathematics of SVM,a new dynamic LSSVM method is proposed.Finally, the dynamic robust LSSVM model is formed based on the combination of the dynamic LSSVM and the robust LSSVM, and applied to the prediction of dam deformation, which has achieved good prediction results.