Neuro-fuzzy modeling of rotation capacity of wide flange beams

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  author =       "Abdulkadir Cevik",
  title =        "Neuro-fuzzy modeling of rotation capacity of wide
                 flange beams",
  journal =      "Expert Systems with Applications",
  volume =       "38",
  number =       "5",
  pages =        "5650--5661",
  year =         "2011",
  ISSN =         "0957-4174",
  DOI =          "doi:10.1016/j.eswa.2010.10.070",
  URL =          "",
  keywords =     "genetic algorithms, genetic programming, Rotation
                 capacity, Beams, Neuro-fuzzy, Modelling",
  abstract =     "This study is a pioneer work that investigates the
                 feasibility of neuro-fuzzy (NF) approach for the
                 modeling of rotation capacity of wide flange beams. The
                 database for the NF modeling is based on experimental
                 studies from literature. The results of the NF model
                 are compared with numerical results obtained by a
                 specialised computer programme and existing analytical
                 and genetic programming based equations. The results
                 indicate that the proposed NF model performs better. By
                 using the proposed NF model, a wide range of parametric
                 studies are also performed to evaluate the main effects
                 of each variable on rotation capacity.",

Genetic Programming entries for Abdulkadir Cevik