Soft computing approaches for forecasting reference evapotranspiration

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

@Article{Gocic:2015:CEA,
  author =       "Milan Gocic and Shervin Motamedi and 
                 Shahaboddin Shamshirband and Dalibor Petkovic and Sudheer Ch and 
                 Roslan Hashim and Muhammad Arif",
  title =        "Soft computing approaches for forecasting reference
                 evapotranspiration",
  journal =      "Computers and Electronics in Agriculture",
  volume =       "113",
  pages =        "164--173",
  year =         "2015",
  ISSN =         "0168-1699",
  DOI =          "doi:10.1016/j.compag.2015.02.010",
  URL =          "http://www.sciencedirect.com/science/article/pii/S0168169915000526",
  abstract =     "Accurate estimation of reference evapotranspiration
                 (ET0) is needed for planning and managing water
                 resources and agricultural production. The FAO-56
                 Penman-Monteith equation is used to determinate ET0
                 based on the data collected during the period 1980-2010
                 in Serbia. In order to forecast ET0, four soft
                 computing methods were analysed: genetic programming
                 (GP), support vector machine-firefly algorithm
                 (SVM-FFA), artificial neural network (ANN), and support
                 vector machine-wavelet (SVM-Wavelet). The reliability
                 of these computational models was analysed based on
                 simulation results and using five statistical tests
                 including Pearson correlation coefficient, coefficient
                 of determination, root-mean-square error, absolute
                 percentage error, and mean absolute error. The
                 end-point result indicates that SVM-Wavelet is the best
                 methodology for ET0 prediction, whereas SVM-Wavelet and
                 SVM-FFA models have higher correlation coefficient as
                 compared to ANN and GP computational methods.",
  keywords =     "genetic algorithms, genetic programming, Soft
                 computing, Forecasting, Firefly algorithm, Support
                 vector machine, Wavelet, Serbia",
}

Genetic Programming entries for Milan Gocic Shervin Motamedi Shahaboddin Shamshirband Dalibor Petkovic Sudheer Ch Roslan Hashim Muhammad Arif

Citations