Prediction of Daily Dewpoint Temperature Using a Model Combining the Support Vector Machine with Firefly Algorithm

dc.contributor.author	Eiman Tamah Al-Shammari
dc.contributor.author	Kasra Mohammadi
dc.contributor.author	Afram Keivani
dc.contributor.author	Siti Hafizah Ab Hamid
dc.contributor.author	Shatirah Akib
dc.contributor.author	Shahaboddin Shamshirband
dc.contributor.author	Dalibor Petković
dc.date.accessioned	2017-05-08T22:34:51Z
dc.date.available	2017-05-08T22:34:51Z
dc.date.copyright	May 2016
dc.date.issued	2016
dc.identifier.other	50655444.pdf
dc.identifier.uri	http://yetl.yabesh.ir/yetl/handle/yetl/83033
dc.description.abstract	In this research work, a hybrid approach of integrating a support vector machine (SVM) with firefly algorithm (FFA) is proposed to predict daily dewpoint temperature (
dc.publisher	American Society of Civil Engineers
dc.title	Prediction of Daily Dewpoint Temperature Using a Model Combining the Support Vector Machine with Firefly Algorithm
dc.type	Journal Paper
dc.journal.volume	142
dc.journal.issue	5
dc.journal.title	Journal of Irrigation and Drainage Engineering
dc.identifier.doi	10.1061/(ASCE)IR.1943-4774.0001015
dc.tree	Journal of Irrigation and Drainage Engineering:;2016:;Volume ( 142 ):;issue: 005
dc.contenttype	Fulltext