Prediction of lateral outflow over triangular labyrinth side weirs under subcritical conditions using soft computing approaches

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@Article{Kisi20123454,
  author =       "Ozgur Kisi and M. Emin Emiroglu and Omer Bilhan and 
                 Aytac Guven",
  title =        "Prediction of lateral outflow over triangular
                 labyrinth side weirs under subcritical conditions using
                 soft computing approaches",
  journal =      "Expert Systems with Applications",
  volume =       "39",
  number =       "3",
  pages =        "3454--3460",
  year =         "2012",
  ISSN =         "0957-4174",
  DOI =          "doi:10.1016/j.eswa.2011.09.035",
  URL =          "http://www.sciencedirect.com/science/article/pii/S0957417411013443",
  keywords =     "genetic algorithms, genetic programming, gene
                 expression programming, Side weir, Discharge
                 coefficient, Intake, Triangular weir, Labyrinth, Neural
                 networks",
  abstract =     "This paper presents the results of laboratory model
                 testing of triangular labyrinth side weirs located on
                 the straight open channel flume. The discharge capacity
                 of triangular labyrinth side weirs is estimated by
                 using two different artificial neural network (ANN)
                 techniques, that is, the radial basis neural network
                 (RBNN) and generalised regression neural network
                 (GRNN), and gene-expression programming (GEP), which is
                 an extension to genetic programming. 2500 laboratory
                 test results are used for determining discharge
                 coefficient of triangular labyrinth side weirs. The
                 performance of the ANN and GEP models is compared with
                 multi-linear and nonlinear regression models.
                 Comparison results indicated that the neural computing
                 and gene-expression programming techniques could be
                 employed successfully in modelling discharge
                 coefficient from the available experimental data.",
}

Genetic Programming entries for Ozgur Kisi M Emin Emiroglu Omer Bilhan Aytac Guven

Citations