Lateral displacement of liquefaction induced ground using least square support vector machine

Das, Sarat Kumar, Samui, Pijush, Kim, Dookie, Sivakugan, N., and Biswal, Rajanikanta (2011) Lateral displacement of liquefaction induced ground using least square support vector machine. International Journal of Geotechnical Earthquake Engineering, 2 (2). pp. 29-39.

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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.

Item ID: 19127
Item Type: Article (Refereed Research - C1)
Keywords: Artificial Neural Network, earthquake, latral displacement, Least Square Support Vector Machine, liquefaction, sensitivity analysis
ISSN: 1947-8496
Date Deposited: 31 Oct 2011 12:18
FoR Codes: 09 ENGINEERING > 0905 Civil Engineering > 090501 Civil Geotechnical Engineering @ 100%
SEO Codes: 87 CONSTRUCTION > 8702 Construction Design > 870201 Civil Construction Design @ 100%
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