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Site Characterization Using GP, MARS and GPR

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Book cover Handbook of Genetic Programming Applications

Abstract

This article examines the capability of Genetic Programming (GP), Multivariate Adaptive Regression Spline (MARS) and Gaussian Process Regression (GPR) for developing site characterization model of Bangalore (India) based on corrected Standard Penetration Test (SPT) value (Nc). GP, MARS and GPR have been used as regression techniques. GP is developed based on genetic algorithm. MARS does not assume any functional relationship between input and output variables. GPR is a probabilistic, non-parametric model. In GPR, different kinds of prior knowledge can be applied. In three dimensional analysis, the function\( {\mathrm{N}}_{\mathrm{c}}=\mathrm{f}\left(\mathrm{X},\mathrm{Y},\mathrm{Z}\right) \) where X, Y and Z are the coordinates of a point corresponding to N value, is to be approximated with which N value at any half space point in Bangalore can be determined. A comparative study between the developed GP, MARS and GPR has been carried out in the proposed book chapter. The developed GP, MARS and GPR give the spatial variability of Nc values at Bangalore.

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Acknowledgement

Authors thank to T.G. Sitharam for providing the dataset.

Author information

Authors and Affiliations

  1. Centre for Disaster Mitigation and Management, VIT University, Vellore, 632014, Tamilnadu, India

    Pijush Samui & J Jagan

  2. Faculty of Engineering, Civil Engineering Department, Erzincan University, Erzincan, Turkey

    Yıldırım Dalkiliç

Authors
  1. Pijush Samui
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  2. Yıldırım Dalkiliç
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  3. J Jagan
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Corresponding author

Correspondence to Pijush Samui .

Editor information

Editors and Affiliations

  1. BEACON Center for the Study of Evolution in Action, Michigan State University, East Lansing, Michigan, USA

    Amir H. Gandomi

  2. Department of Civil & Environmental Engineering, Michigan State University, East Lansing, Michigan, USA

    Amir H. Alavi

  3. Department of Computer Science and Information Systems, University of Limerick, Limerick, Limerick, Ireland

    Conor Ryan

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Samui, P., Dalkiliç, Y., Jagan, J. (2015). Site Characterization Using GP, MARS and GPR. In: Gandomi, A., Alavi, A., Ryan, C. (eds) Handbook of Genetic Programming Applications. Springer, Cham. https://doi.org/10.1007/978-3-319-20883-1_13

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  • DOI: https://doi.org/10.1007/978-3-319-20883-1_13

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-20882-4

  • Online ISBN: 978-3-319-20883-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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