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contributor authorSlavisa Trajkovic
contributor authorBranimir Todorovic
contributor authorMiomir Stankovic
date accessioned2017-05-08T20:49:24Z
date available2017-05-08T20:49:24Z
date copyrightDecember 2003
date issued2003
identifier other%28asce%290733-9437%282003%29129%3A6%28454%29.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/28222
description abstractIn recent years, artificial neural networks (ANNs) have been applied to forecasting in many areas of engineering. In this note, a sequentially adaptive radial basis function network is applied to the forecasting of reference evapotranspiration
publisherAmerican Society of Civil Engineers
titleForecasting of Reference Evapotranspiration by Artificial Neural Networks
typeJournal Paper
journal volume129
journal issue6
journal titleJournal of Irrigation and Drainage Engineering
identifier doi10.1061/(ASCE)0733-9437(2003)129:6(454)
treeJournal of Irrigation and Drainage Engineering:;2003:;Volume ( 129 ):;issue: 006
contenttypeFulltext


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