Lateral Displacement of Liquefaction Induced Ground Using Least Square Support Vector Machine

Sarat Kumar Das, Pijush Samui, Dookie Kim, N. Sivakugan and Rajanikanta Biswal
Additional contact information
Sarat Kumar Das: National Institute of Technology Rourkela, India
Pijush Samui: VIT University, Vellore, India
Dookie Kim: Kunsan National University, India
N. Sivakugan: James Cook University, Australia
Rajanikanta Biswal: KIIT University, Bhubaneswar, India

International Journal of Geotechnical Earthquake Engineering (IJGEE), 2011, vol. 2, issue 2, 29-39

Abstract: The determination of lateral displacement of liquefaction induced ground during an earthquake is an imperative task in disaster mitigation. This study investigates the possibility of using least square support vector machine (LSSVM) for the prediction of lateral displacement of liquefaction induced ground during an earthquake. The results have been compared with those obtained using artificial neural network (ANN) models and observed that LSSVM outperformed the ANN models. Model equation has been presented based on the model parameters, which can be used by the professionals. Sensitivity analysis has also been performed to determine the importance of each of the input parameters.

Date: 2011
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 4018/jgee.2011070103 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jgee00:v:2:y:2011:i:2:p:29-39

Access Statistics for this article

International Journal of Geotechnical Earthquake Engineering (IJGEE) is currently edited by T.G. Sitharam

More articles in International Journal of Geotechnical Earthquake Engineering (IJGEE) from IGI Global
Bibliographic data for series maintained by Journal Editor ().