Application of Fuzzy Least Squares Support Vector Machines in Landslide Deformation Prediction-Reference-Cited by-同舟云学术

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

Published:2012-11 Issue: Volume:594-597 Page:2402-2405
ISSN:1662-8985
Container-title:Advanced Materials Research
language:
Short-container-title:AMR

Author:

Chen Wei¹,Xiao Xiao²,Zhang Jian³

Affiliation:

1. Wuhan University

2. Chengdu Research Institute of Surveying and Mapping

3. KQ GEO Instrument Co., Ltd

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.

Publisher

Trans Tech Publications, Ltd.

Subject

General Engineering

Link

https://www.scientific.net/AMR.594-597.2402.pdf

Reference7 articles.

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5. H.P. Huang and Y.H. Liu: Internation Journal of Fuzzy Systems, Vol. 4 (2002) pp.826-835.

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