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    Data-Driven Gray Box Modeling for Predicting Basin-Scale Groundwater Variations in Central Taiwan

    Source: Journal of Hydrologic Engineering:;2025:;Volume ( 030 ):;issue: 001::page 05024026-1
    Author:
    Ouédraogo, Abdoul Rachid
    ,
    Hsu, Shaohua Marko
    ,
    Chen, Yu-Wen
    ,
    Ni, Chuen-Fa
    DOI: 10.1061/JHYEFF.HEENG-6280
    Publisher: American Society of Civil Engineers
    Abstract: AbstractIn this study, we present a data-driven approach, referred to as gray box modeling, that aims to achieve a balance between the transparency of white box models and the predictive power of black box models in groundwater level prediction. We ...
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      Data-Driven Gray Box Modeling for Predicting Basin-Scale Groundwater Variations in Central Taiwan

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4311667
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    contributor authorOuédraogo, Abdoul Rachid
    contributor authorHsu, Shaohua Marko
    contributor authorChen, Yu-Wen
    contributor authorNi, Chuen-Fa
    date accessioned2026-08-20T11:05:00Z
    date available2026-08-20T11:05:00Z
    date copyright2024/11/06
    date issued2025
    identifier otherJHYEFF.HEENG-6280.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4311667
    description abstractAbstractIn this study, we present a data-driven approach, referred to as gray box modeling, that aims to achieve a balance between the transparency of white box models and the predictive power of black box models in groundwater level prediction. We ...
    publisherAmerican Society of Civil Engineers
    titleData-Driven Gray Box Modeling for Predicting Basin-Scale Groundwater Variations in Central Taiwan
    typeJournal Article
    journal volume30
    journal issue1
    journal titleJournal of Hydrologic Engineering
    identifier doi10.1061/JHYEFF.HEENG-6280
    journal fristpage05024026-1
    journal lastpage05024026-11
    page11
    treeJournal of Hydrologic Engineering:;2025:;Volume ( 030 ):;issue: 001
    contenttypeFulltext
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