(2013). Modeling of potential evapotranspiration by Artificial Neural Network from minimum climatic variables in Mashhad synoptic station. Journal of Water and Soil Conservation, 20(5), 163-178.
MLA
. "Modeling of potential evapotranspiration by Artificial Neural Network from minimum climatic variables in Mashhad synoptic station", Journal of Water and Soil Conservation, 20, 5, 2013, 163-178.
HARVARD
(2013). 'Modeling of potential evapotranspiration by Artificial Neural Network from minimum climatic variables in Mashhad synoptic station', Journal of Water and Soil Conservation, 20(5), pp. 163-178.
VANCOUVER
Modeling of potential evapotranspiration by Artificial Neural Network from minimum climatic variables in Mashhad synoptic station. Journal of Water and Soil Conservation, 2013; 20(5): 163-178.
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