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    Generalization of ETo ANN Models through Data Supplanting

    Source: Journal of Irrigation and Drainage Engineering:;2010:;Volume ( 136 ):;issue: 003
    Author:
    Pau Martí
    ,
    Alvaro Royuela
    ,
    Juan Manzano
    ,
    Guillermo Palau-Salvador
    DOI: 10.1061/(ASCE)IR.1943-4774.0000152
    Publisher: American Society of Civil Engineers
    Abstract: This paper describes the application of artificial neural networks (ANNs) for estimating reference evapotranspiration
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      Generalization of ETo ANN Models through Data Supplanting

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    http://yetl.yabesh.ir/yetl1/handle/yetl/65037
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    contributor authorPau Martí
    contributor authorAlvaro Royuela
    contributor authorJuan Manzano
    contributor authorGuillermo Palau-Salvador
    date accessioned2017-05-08T21:52:39Z
    date available2017-05-08T21:52:39Z
    date copyrightMarch 2010
    date issued2010
    identifier other%28asce%29ir%2E1943-4774%2E0000180.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/65037
    description abstractThis paper describes the application of artificial neural networks (ANNs) for estimating reference evapotranspiration
    publisherAmerican Society of Civil Engineers
    titleGeneralization of ETo ANN Models through Data Supplanting
    typeJournal Paper
    journal volume136
    journal issue3
    journal titleJournal of Irrigation and Drainage Engineering
    identifier doi10.1061/(ASCE)IR.1943-4774.0000152
    treeJournal of Irrigation and Drainage Engineering:;2010:;Volume ( 136 ):;issue: 003
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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