River suspended sediment estimation by climatic variables implication: Comparative study among soft computing techniques

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@Article{Kisi201273,
  author =       "Ozgur Kisi and Jalal Shiri",
  title =        "River suspended sediment estimation by climatic
                 variables implication: Comparative study among soft
                 computing techniques",
  journal =      "Computer \& Geosciences",
  volume =       "43",
  pages =        "73--82",
  year =         "2012",
  ISSN =         "0098-3004",
  DOI =          "doi:10.1016/j.cageo.2012.02.007",
  URL =          "http://www.sciencedirect.com/science/article/pii/S0098300412000428",
  keywords =     "genetic algorithms, genetic programming, Sediment,
                 Soft computing, Hydro-climatology",
  abstract =     "Estimating sediment volume carried by a river is an
                 important issue in water resources engineering. This
                 paper compares the accuracy of three different soft
                 computing methods, Artificial Neural Networks (ANNs),
                 Adaptive Neuro-Fuzzy Inference System (ANFIS), and Gene
                 Expression Programming (GEP), in estimating daily
                 suspended sediment concentration on rivers by using
                 hydro-meteorological data. The daily rainfall,
                 streamflow and suspended sediment concentration data
                 from Eel River near Dos Rios, at California, USA are
                 used as a case study. The comparison results indicate
                 that the GEP model performs better than the other
                 models in daily suspended sediment concentration
                 estimation for the particular data sets used in this
                 study. Levenberg-Marquardt, conjugate gradient and
                 gradient descent training algorithms were used for the
                 ANN models. Out of three algorithms, the Conjugate
                 gradient algorithm was found to be better than the
                 others.",
}

Genetic Programming entries for Ozgur Kisi Jalal Shiri

Citations