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

    Source: Journal of Irrigation and Drainage Engineering:;2016:;Volume ( 142 ):;issue: 005
    Author:
    Eiman Tamah Al-Shammari
    ,
    Kasra Mohammadi
    ,
    Afram Keivani
    ,
    Siti Hafizah Ab Hamid
    ,
    Shatirah Akib
    ,
    Shahaboddin Shamshirband
    ,
    Dalibor Petković
    DOI: 10.1061/(ASCE)IR.1943-4774.0001015
    Publisher: American Society of Civil Engineers
    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 (
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      Prediction of Daily Dewpoint Temperature Using a Model Combining the Support Vector Machine with Firefly Algorithm

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    http://yetl.yabesh.ir/yetl1/handle/yetl/83033
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    • Journal of Irrigation and Drainage Engineering

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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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    DSpace software copyright © 2002-2015  DuraSpace
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