… Evaporation is the major water-loss component of the hydrologic cycle and thus requires …
to model daily pan evaporation rates in hyper-arid climates using artificial neural networks (…

… recommends the use of transformer neural networks for … pan evaporation forecasting
modelling? The accuracy and limitations of several modelling techniques used for pan evaporation …

… five climate areas (Humid, sub-humid, semi-arid, arid, hyper-arid… classified as: hyper arid
climate (AI < 0.05), arid climate (0.05 < … , a model based on the feed forward neural network was …

… research on the use of Artificial Neural Networks (ANNs) in simulating pan-evaporation. The
… of ANNs for the estimation of evaporation in hyper-arid zones have been noted by Qasem et …

… neural network model. The data applied in this research are daily … in modeling pan evaporation
in these hyper-arid climatic … study is to use ANN (MLP) to model pan evaporation rate at …

… examination of the models’ was performed via the use of the Taylor diagram to compare the
… learning methods (ie, MARS, multi-model artificial neural network (MM-ANN), SVM, multi-…

… is hyper-arid/temperate [41]. The plains of Fars Province are … of MLP neural network for pan
evaporation modeling by changing … to use different activation functions of the MLP model for …

… model predictions. These findings contribute to the development of more efficient drought
forecasting tools for use by water managers in hyper-arid regions… , increased evaporation rates …

… of the SVM model under hyper-arid conditions at a study site … to the efficiency of the artificial
neural network model. This … in hyper-arid climates. However, a notable drawback of the …

… the importance of evaporation and its high impact on climate … of two models of artificial neural
network and Long- Short … predicting complex climate indicators, such as pan evaporation. …