Estimation of hydraulic jump on corrugated bed using artificial neural networks and genetic programming

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@Article{Abbaspour:2013:WSE,
  author =       "Akram Abbaspour and Davood Farsadizadeh and 
                 Mohammad Ali Ghorbani",
  title =        "Estimation of hydraulic jump on corrugated bed using
                 artificial neural networks and genetic programming",
  journal =      "Water Science and Engineering",
  volume =       "6",
  number =       "2",
  pages =        "189--198",
  year =         "2013",
  ISSN =         "1674-2370",
  DOI =          "doi:10.3882/j.issn.1674-2370.2013.02.007",
  URL =          "http://www.sciencedirect.com/science/article/pii/S1674237015302362",
  abstract =     "Artificial neural networks (ANNs) and genetic
                 programming (GP) have recently been used for the
                 estimation of hydraulic data. In this study, they were
                 used as alternative tools to estimate the
                 characteristics of hydraulic jumps, such as the free
                 surface location and energy dissipation. The
                 dimensionless hydraulic parameters, including jump
                 depth, jump length, and energy dissipation, were
                 determined as functions of the Froude number and the
                 height and length of corrugations. The estimations of
                 the ANN and GP models were found to be in good
                 agreement with the measured data. The results of the
                 ANN model were compared with those of the GP model,
                 showing that the proposed ANN models are much more
                 accurate than the GP models.",
  keywords =     "genetic algorithms, genetic programming, artificial
                 neural networks, corrugated bed, Froude number,
                 hydraulic jump",
}

Genetic Programming entries for Akram Abbaspour Davood Farsadizadeh Mohammad Ali Ghorbani

Citations