Optimization of neural networks for precipitation analysis in a humid region to detect drought and wet year alarms

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Estimation of reference evapotranspiration using multivariate fractional polynomial, Bayesian regression, and robust regression models in three arid environments (2017, background): “…for a reference crop [e.g., alfalfa (ETr) or grass (ET0)], from a standard surface and to then apply an appropriate empirical crop coefficient, which accounts for the difference between the standard surface and crop ET (Tzimopoulos et al. 2007; Valipour 2015a, b, c; Valipour et al. 2012).”
An exploratory policy analysis of electric vehicle sales competition and sensitivity to infrastructure in Europe (2017, methodology): “Calibration (or optimisation) of values is a standard approach across many fields applied to the determination of input data not readily available (Valipour, 2015; Valipour et al., 2015; Li et al., 2014; Lim et al., 2014).”
Forecasting monthly inflow with extreme seasonal variation using the hybrid SARIMA-ANN model (2017, background): “A number of researchers have employed such models for making hydrological predictions (Jain et al. 1999; Coulibaly et al. 2000; Xu and Li 2002; Anctil et al. 2004; Kisi 2004; Kisi and Cigizoglu 2005, 2007; Firat and Güngör 2010; Valipour et al. 2012b; Valipour 2016).”