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    Setting Up Stage-Discharge Relations Using ANN

    Source: Journal of Hydrologic Engineering:;2000:;Volume ( 005 ):;issue: 004
    Author:
    S. K. Jain
    ,
    D. Chalisgaonkar
    DOI: 10.1061/(ASCE)1084-0699(2000)5:4(428)
    Publisher: American Society of Civil Engineers
    Abstract: The artificial neural networks (ANNs) that try to mimic the functioning of the human brain are a powerful tool for input-output mapping. The setting up of a stage-discharge relation is an important part of the processing of streamflow data. Three-layer feedforward ANNs have been used to model river-rating curves. The results show that the ANN approach is much superior as compared to the conventional curve-fitting approach. The ANN is also able to model a loop-rating curve (hysteresis effect) very well.
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      Setting Up Stage-Discharge Relations Using ANN

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    contributor authorS. K. Jain
    contributor authorD. Chalisgaonkar
    date accessioned2017-05-08T21:23:24Z
    date available2017-05-08T21:23:24Z
    date copyrightOctober 2000
    date issued2000
    identifier other%28asce%291084-0699%282000%295%3A4%28428%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/49550
    description abstractThe artificial neural networks (ANNs) that try to mimic the functioning of the human brain are a powerful tool for input-output mapping. The setting up of a stage-discharge relation is an important part of the processing of streamflow data. Three-layer feedforward ANNs have been used to model river-rating curves. The results show that the ANN approach is much superior as compared to the conventional curve-fitting approach. The ANN is also able to model a loop-rating curve (hysteresis effect) very well.
    publisherAmerican Society of Civil Engineers
    titleSetting Up Stage-Discharge Relations Using ANN
    typeJournal Paper
    journal volume5
    journal issue4
    journal titleJournal of Hydrologic Engineering
    identifier doi10.1061/(ASCE)1084-0699(2000)5:4(428)
    treeJournal of Hydrologic Engineering:;2000:;Volume ( 005 ):;issue: 004
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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