%0 Journal Article
%A XIAO Hao-bo
%A GU Yan-chang
%T Monitoring Model for Concrete Dam Safety Using Least Square Support Vector Machine
%D 2013
%R 10.3969/j.issn.1001-5485.2013.05.08
%J Journal of Yangtze River Scientific Research Institute
%P 34-37
%V 30
%N 5
%X Traditional safety monitoring model cannot accurately reflect the nonlinear variation of dam deformation,hence affecting the forecast result. The support vector machine is based on the statistical learning theory and adopts the structural risk minimization principle which has  advantages of simple structure,complete theory,good adaptability,global optimization,short training time,and good generalization performance. Least square support vector machine (LS-SVM) was applied to concrete dam safety monitoring,and a corresponding monitoring model was built. Engineering cases prove that the model is of high precision and practicality.
%U http://ckyyb.crsri.cn/EN/10.3969/j.issn.1001-5485.2013.05.08