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Evaporation estimation using multilayer neural network – A case study for Chhattisgarh plainsBy Diwakar Naidu
Abstract: Evaporation being one of the most important components of the hydrological cycle, it is important to know its relationship with other climatic factors for developing strategies for effective water resource management especially for agricultural purposes. There are few direct and indirect methods in practice for the measurement or computation of evaporation losses. This study is conducted to demonstrate the ability of multilayer neural network (MLNN) with back propagation weight update …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 2, 2018 · pp. 89–97 Read article →