Daily pan evaporation modeling using linear genetic programming technique

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@Article{Guven:2011:IS,
  author =       "Aytac Guven and Ozgur Kisi",
  title =        "Daily pan evaporation modeling using linear genetic
                 programming technique",
  journal =      "Irrigation Science",
  year =         "2011",
  volume =       "29",
  number =       "2",
  pages =        "135--145",
  keywords =     "genetic algorithms, genetic programming, gene
                 expression programming",
  ISSN =         "0342-7188",
  publisher =    "Springer",
  DOI =          "doi:10.1007/s00271-010-0225-5",
  size =         "11 pages",
  abstract =     "This paper investigates the ability of linear genetic
                 programming (LGP), which is an extension to genetic
                 programming (GP) technique, in daily pan evaporation
                 modelling. The daily climatic data, air temperature,
                 solar radiation, wind speed, pressure and humidity of
                 three automated weather stations, Fresno, Los Angeles
                 and San Diego in California, are used as inputs to the
                 LGP to estimate pan evaporation. The LGP estimates are
                 compared with those of the Gene-expression programming
                 (GEP), which is another branch of GP, multilayer
                 perceptrons (MLP), radial basis neural networks (RBNN),
                 generalised regression neural networks (GRNN) and
                 Stephens-Stewart (SS) models. The performances of the
                 models are evaluated using root mean square errors
                 (RMSE), mean absolute error (MAE) and determination
                 coefficient (R 2) statistics. Based on the comparisons,
                 it was found that the LGP technique could be employed
                 successfully in modeling evaporation process from the
                 available climatic data.",
  affiliation =  "Civil Engineering Department, Hydraulics Division,
                 Gaziantep University, 27310 Gaziantep, Turkey",
}

Genetic Programming entries for Aytac Guven Ozgur Kisi

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