Comparison of artificial neural network models and empirical and semi-empirical equations for daily reference evapotranspiration estimation in the Basque Country (Northern Spain)

By G. Landeras, Amaia Ortiz-Barredo, J. J. López. 2008

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Subset Modeling Basis ANFIS for Prediction of the Reference Evapotranspiration (2018, background): “Comprehensive studies and review of artificial neural network (ANN) applications in evapotranspiration simulation and empirical models can be seen in researches (Abdullah and Malek 2016; Kisi 2008; Landeras et al. 2008).”
Particle swarm optimization-based radial basis function network for estimation of reference evapotranspiration (2016, methodology): “…regression neural networks (GRNN) (Cigizoglu 2005; Kisi 2006), backpropagation (Kumar et al. 2002; Huo et al. 2012), Levenberg– Marquardt (Khoob 2008; Zanetti et al. 2007; Tabari and Hosseinzadeh Talaee 2013), and conjugate gradient decent (Landeras et al. 2008) have been used to estimate ET0.”