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    Predicting Longitudinal Dispersion Coefficient in Natural Streams by Artificial Neural Network

    Source: Journal of Hydraulic Engineering:;2005:;Volume ( 131 ):;issue: 011
    Author:
    Gokmen Tayfur
    ,
    Vijay P. Singh
    DOI: 10.1061/(ASCE)0733-9429(2005)131:11(991)
    Publisher: American Society of Civil Engineers
    Abstract: An artificial neural network (ANN) model was developed to predict the longitudinal dispersion coefficient in natural streams and rivers. The hydraulic variables [flow discharge
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      Predicting Longitudinal Dispersion Coefficient in Natural Streams by Artificial Neural Network

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    https://yetl.yabesh.ir/yetl1/handle/yetl/25841
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    contributor authorGokmen Tayfur
    contributor authorVijay P. Singh
    date accessioned2017-05-08T20:45:00Z
    date available2017-05-08T20:45:00Z
    date copyrightNovember 2005
    date issued2005
    identifier other%28asce%290733-9429%282005%29131%3A11%28991%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/25841
    description abstractAn artificial neural network (ANN) model was developed to predict the longitudinal dispersion coefficient in natural streams and rivers. The hydraulic variables [flow discharge
    publisherAmerican Society of Civil Engineers
    titlePredicting Longitudinal Dispersion Coefficient in Natural Streams by Artificial Neural Network
    typeJournal Paper
    journal volume131
    journal issue11
    journal titleJournal of Hydraulic Engineering
    identifier doi10.1061/(ASCE)0733-9429(2005)131:11(991)
    treeJournal of Hydraulic Engineering:;2005:;Volume ( 131 ):;issue: 011
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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