Genetic programming-based attenuation relationship: An application of recent earthquakes in Turkey

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@Article{Cabalar20091884,
  author =       "Ali Firat Cabalar and Abdulkadir Cevik",
  title =        "Genetic programming-based attenuation relationship: An
                 application of recent earthquakes in Turkey",
  journal =      "Computers \& Geosciences",
  volume =       "35",
  number =       "9",
  pages =        "1884--1896",
  year =         "2009",
  ISSN =         "0098-3004",
  DOI =          "doi:10.1016/j.cageo.2008.10.015",
  URL =          "http://www.sciencedirect.com/science/article/B6V7D-4W99W08-1/2/aa19b6639659945b1d4e78c6209fe435",
  keywords =     "genetic algorithms, genetic programming, Attenuation
                 relationship",
  abstract =     "This study investigates an application of genetic
                 programming (GP) for the prediction of peak ground
                 acceleration (PGA) using strong-ground-motion data from
                 Turkey. The input variables in the developed GP model
                 are the average shear-wave velocity, earthquake source
                 to site distance and earthquake magnitude, and the
                 output is the PGA values. The proposed GP model is
                 based on the most reliable database compiled for
                 earthquakes in Turkey. The results show that the
                 consistency between the observed PGA values and the
                 predicted ones by the GP model yields relatively high
                 correlation coefficients (R2=0.75). The proposed model
                 is also compared with an existing attenuation
                 relationship and found to be more accurate.",
}

Genetic Programming entries for Ali Firat Cabalar Abdulkadir Cevik

Citations