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

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  • 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)

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.

Suggested Citation

  • Sarat Kumar Das & Pijush Samui & Dookie Kim & N. Sivakugan & Rajanikanta Biswal, 2011. "Lateral Displacement of Liquefaction Induced Ground Using Least Square Support Vector Machine," International Journal of Geotechnical Earthquake Engineering (IJGEE), IGI Global, vol. 2(2), pages 29-39, July.
    • Handle: RePEc:igg:jgee00:v:2:y:2011:i:2:p:29-39
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