Gene expression programming to predict the discharge coefficient in rectangular side weirs

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  author =       "Isa Ebtehaj and Hossein Bonakdari and 
                 Amir Hossein Zaji and Hamed Azimi and Ali Sharifi",
  title =        "Gene expression programming to predict the discharge
                 coefficient in rectangular side weirs",
  journal =      "Applied Soft Computing",
  year =         "2015",
  volume =       "35",
  bibdate =      "2015-11-26",
  bibsource =    "DBLP,
  pages =        "618--628",
  keywords =     "genetic algorithms, genetic programming, gene
                 expression programming, Discharge coefficient,
                 Sensitivity analysis, Side weir",
  ISSN =         "1568-4946",
  DOI =          "doi:10.1016/j.asoc.2015.07.003",
  URL =          "",
  abstract =     "In this study, gene expression programming (GEP) is
                 employed as a new method for estimating the side weir
                 discharge coefficient. The accuracy of existing
                 equations in evaluating the side weir discharge
                 coefficient is first examined. Afterwards, taking into
                 consideration the dimensionless parameters that affect
                 the estimation of this parameter and sensitivity
                 analysis, five different models are presented.
                 Coefficient determination (R2), root mean square error
                 (RMSE), mean absolute relative error (MARE), scatter
                 index (SI) and BIAS are used for measuring the models
                 performance. Two sets of experimental data are applied
                 to evaluate the models. According to the results
                 obtained indicate that the model with Froude number
                 (F1), dimensionless weir length (b/B), ratio of weir
                 length to depth of upstream flow (b/y1), and ratio of
                 weir height to its length (p/y1) parameters of
                 R2=0.947, MARE=0.05, RMSE=0.037, BIAS=0.01 and
                 SI=0.067, performed the best. Accordingly, this new
                 equation proposed through GEP can be used for
                 estimating the discharge coefficient in rectangular
                 sharp-crested side weirs.",

Genetic Programming entries for Isa Ebtehaj Hossein Bonakdari Amir Hossein Zaji Hamed Azimi Ali Sharifi