Application of Fuzzy Least Squares Support Vector Machines in Landslide Deformation Prediction

Wei Chen; Xiao Xiao; Jian Zhang

doi:10.4028/www.scientific.net/AMR.594-597.2402

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 594-597Application of Fuzzy Least Squares Support Vector...

Application of Fuzzy Least Squares Support Vector Machines in Landslide Deformation Prediction

Abstract:

Aiming at the problem that the Least Squares Support Vector Machines(LSSVM) was sensitive to noises or outliers, fuzzy idea was used to the Least Squares Support Vector Machines.The Fuzzy Least Squares Support Vector Machines(FLSSVM) was proposed and was applied to the Landslide Deformation Prediction. Experimental results show that this method can improve the accuracy of prediction and be effectively applied to landslide deformation prediction.

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Periodical:

Advanced Materials Research (Volumes 594-597)

Pages:

2402-2405

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.594-597.2402

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Online since:

November 2012

Authors:

Wei Chen, Xiao Xiao, Jian Zhang

Keywords:

Deformation Prediction, Fuzzy Membership, Landslide, Least Squares Support Vector Machines (Ls-SVM)

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