Soft computing approaches for forecasting reference evapotranspiration

Created by W.Langdon from gp-bibliography.bib Revision:1.4031

  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
  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 =          "",
  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