Daily reference evapotranspiration modelling by using genetic programming approach in the Basque Country (Northern Spain)

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@Article{Shiri2012302,
  author =       "Jalal Shiri and Ozgur Kisi and Gorka Landeras and 
                 Jose Javier Lopez and Amir Hossein Nazemi and 
                 Louis C. P. M. Stuyt",
  title =        "Daily reference evapotranspiration modelling by using
                 genetic programming approach in the Basque Country
                 (Northern Spain)",
  journal =      "Journal of Hydrology",
  volume =       "414-415",
  pages =        "302--316",
  year =         "2012",
  ISSN =         "0022-1694",
  DOI =          "doi:10.1016/j.jhydrol.2011.11.004",
  URL =          "http://www.sciencedirect.com/science/article/pii/S0022169411007670",
  keywords =     "genetic algorithms, genetic programming,
                 Evapotranspiration, Neuro-fuzzy system, ET_0 equations,
                 Basque Country",
  abstract =     "Evapotranspiration, as a major component of the
                 hydrological cycle, is of importance for water
                 resources management and development, as well as for
                 estimating the water budget of irrigation schemes. This
                 study presents a Gene Expression Programming (GEP)
                 approach, for estimating daily reference
                 evapotranspiration (ET0) in four weather stations in
                 Basque Country (Northern Spain), for a 5-year period
                 (1999-2003). The data set comprising air temperature,
                 relative humidity, wind speed and solar radiation was
                 employed for modelling ET0 using FAO-56 Penman Monteith
                 equation as the reference. The GEP results were
                 compared with the Adaptive Neuro-Fuzzy Inference System
                 (ANFIS), Priestley-Taylor and Hargreaves-Samani models.
                 Based on the comparisons, the GEP was found to perform
                 better than the ANFIS, Priestley-Taylor and
                 Hargreaves-Samani models. The ANFIS model is ranked as
                 the second best model.",
}

Genetic Programming entries for Jalal Shiri Ozgur Kisi Gorka Landeras Jose Javier Lopez Amir Hossein Nazemi Louis C P M Stuyt

Citations