Generalized regression neural networks for evapotranspiration modelling

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Evapotranspiration modeling using a wavelet regression model (2010, methodology): “The examples of using these methods for the estimating reference evapotranspiration are numerous (Hargreaves and Allen 2003; Kisi 2006; Trajkovic 2007; Trajkovic and Kolakovic 2009b, 2009c).”
Particle swarm optimization-based radial basis function network for estimation of reference evapotranspiration (2016, background): “…as the radial basis function (RBF) (Trajkovic et al. 2000; Kim and Kim 2008), the generalized 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…”
Regional-Specific Numerical Models of Evapotranspiration Using Gene-Expression Programming Interface in Sahel (2012, background): “Note that simpler equations have a limited range of applicability (Kisi 2006).”
Estimation of Monthly Mean Reference Evapotranspiration in Turkey (2013, methodology): “In the past decades, the artificial neural network (ANN) approach has been used to model reference evapotranspiration (e.g., Kumar et al. 2002; Sudheer et al. 2003; Trajkovic et al. 2003; Kisi 2006a, b, 2007; Rahimikhoob 2008, 2010).”