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.
Key words ：
Least Square Support Vector Machine
robust estimation
dynamic prediction
simulation test
dams’ deformation
Received: 01 January 1900
Corresponding Authors:
Li Xiao
Cite this article:
Li Xiao ,and Xu Jinjun . APPLICATION OF DYNAMIC ROBUST SUPPORT VECTOR MACHINE TO PREDICTION OF DAM DEFORMATION[J]. , 2009, 29(2): 118-120.
Li Xiao ,and Xu Jinjun . APPLICATION OF DYNAMIC ROBUST SUPPORT VECTOR MACHINE TO PREDICTION OF DAM DEFORMATION[J]. jgg, 2009, 29(2): 118-120.
URL:
http://www.jgg09.com/EN/ OR http://www.jgg09.com/EN/Y2009/V29/I2/118
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