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contributor authorS. Adamala
contributor authorN. S. Raghuwanshi
contributor authorA. Mishra
contributor authorM. K. Tiwari
date accessioned2017-05-08T22:08:22Z
date available2017-05-08T22:08:22Z
date copyrightDecember 2014
date issued2014
identifier other32255213.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/72125
description abstractThis paper aims at developing generalized higher-order synaptic neural (GHSN), i.e., generalized quadratic synaptic neural (GQSN) and generalized cubic synaptic neural (GCSN), reference evapotranspiration (
publisherAmerican Society of Civil Engineers
titleDevelopment of Generalized Higher-Order Synaptic Neural–Based ETo Models for Different Agroecological Regions in India
typeJournal Paper
journal volume140
journal issue12
journal titleJournal of Irrigation and Drainage Engineering
identifier doi10.1061/(ASCE)IR.1943-4774.0000784
treeJournal of Irrigation and Drainage Engineering:;2014:;Volume ( 140 ):;issue: 012
contenttypeFulltext


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