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contributor authorEiman Tamah Al-Shammari
contributor authorKasra Mohammadi
contributor authorAfram Keivani
contributor authorSiti Hafizah Ab Hamid
contributor authorShatirah Akib
contributor authorShahaboddin Shamshirband
contributor authorDalibor Petković
date accessioned2017-05-08T22:34:51Z
date available2017-05-08T22:34:51Z
date copyrightMay 2016
date issued2016
identifier other50655444.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/83033
description abstractIn this research work, a hybrid approach of integrating a support vector machine (SVM) with firefly algorithm (FFA) is proposed to predict daily dewpoint temperature (
publisherAmerican Society of Civil Engineers
titlePrediction of Daily Dewpoint Temperature Using a Model Combining the Support Vector Machine with Firefly Algorithm
typeJournal Paper
journal volume142
journal issue5
journal titleJournal of Irrigation and Drainage Engineering
identifier doi10.1061/(ASCE)IR.1943-4774.0001015
treeJournal of Irrigation and Drainage Engineering:;2016:;Volume ( 142 ):;issue: 005
contenttypeFulltext


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