Modeling strength enhancement of FRP confined concrete cylinders using soft computing

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@Article{Cevik20115662,
  author =       "Abdulkadir Cevik",
  title =        "Modeling strength enhancement of FRP confined concrete
                 cylinders using soft computing",
  journal =      "Expert Systems with Applications",
  volume =       "38",
  number =       "5",
  pages =        "5662--5673",
  year =         "2011",
  ISSN =         "0957-4174",
  DOI =          "doi:10.1016/j.eswa.2010.10.069",
  URL =          "http://www.sciencedirect.com/science/article/B6V03-51CJ387-J/2/4b0e7942a4c46980f638964d442e332a",
  keywords =     "genetic algorithms, genetic programming, Soft
                 computing, Neural networks, Neuro-fuzzy, Stepwise
                 regression, FRP confinement, Concrete cylinder,
                 Strength enhancement",
  abstract =     "This study presents the application of soft computing
                 techniques namely as genetic programming (GP) and
                 stepwise regression (SR), neuro-fuzzy (NF) and neural
                 networks (NN) for modelling of strength enhancement of
                 FRP (fibre-reinforced polymer) confined concrete
                 cylinders. The proposed soft computing models are based
                 on experimental results collected from literature. The
                 accuracy of the proposed soft computing models are
                 quite satisfactory as compared to experimental results.
                 Moreover the results of proposed soft computing
                 formulations are compared with 10 models existing in
                 the literature proposed by various researchers so far
                 and are found to be by far more accurate.",
}

Genetic Programming entries for Abdulkadir Cevik

Citations