Modeling rainfall-runoff process using soft computing techniques

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@Article{Kisi:2013:CG,
  author =       "Ozgur Kisi and Jalal Shiri and Mustafa Tombul",
  title =        "Modeling rainfall-runoff process using soft computing
                 techniques",
  journal =      "Computer \& Geosciences",
  volume =       "51",
  pages =        "108--117",
  year =         "2013",
  month =        feb,
  keywords =     "genetic algorithms, genetic programming, gene
                 expression programming, Rainfall-runoff process, Neural
                 networks, Neuro-fuzzy system",
  ISSN =         "0098-3004",
  DOI =          "doi:10.1016/j.cageo.2012.07.001",
  URL =          "http://www.sciencedirect.com/science/article/pii/S0098300412002257",
  abstract =     "Rainfall-runoff process was modelled for a small
                 catchment in Turkey, using 4 years (1987-1991) of
                 measurements of independent variables of rainfall and
                 runoff values. The models used in the study were
                 Artificial Neural Networks (ANNs), Adaptive Neuro-Fuzzy
                 Inference System (ANFIS) and Gene Expression
                 Programming (GEP) which are Artificial Intelligence
                 (AI) approaches. The applied models were trained and
                 tested using various combinations of the independent
                 variables. The goodness of fit for the model was
                 evaluated in terms of the coefficient of determination
                 (R2), root mean square error (RMSE), mean absolute
                 error (MAE), coefficient of efficiency (CE) and scatter
                 index (SI). A comparison was also made between these
                 models and traditional Multi Linear Regression (MLR)
                 model. The study provides evidence that GEP (with
                 RMSE=17.82 l/s, MAE=6.61 l/s, CE=0.72 and R2=0.978) is
                 capable of modelling rainfall-runoff process and is a
                 viable alternative to other applied artificial
                 intelligence and MLR time-series methods.",
}

Genetic Programming entries for Ozgur Kisi Jalal Shiri Mustafa Tombul

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