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    Groundwater dynamics clustering and prediction based on grey relational analysis and LSTM model: A case study in Beijing Plain, China

    New search for: Zhou, Yan
    New search for: Zhang, Qiulan
    New search for: Bai, Guoying
    New search for: Zhao, Hongyan
    New search for: Shuai, Guanyin
    New search for: Cui, Yali
    New search for: Shao, Jingli

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    Groundwater dynamics clustering and prediction based on grey relational analysis and LSTM model: A case study in Beijing Plain, China

    New search for: Zhou, Yan
    New search for: Zhang, Qiulan
    New search for: Bai, Guoying
    New search for: Zhao, Hongyan
    New search for: Shuai, Guanyin
    New search for: Cui, Yali
    New search for: Shao, Jingli

    Access

    Download

    Groundwater dynamics clustering and prediction based on grey relational analysis and LSTM model: A case study in Beijing Plain, China

    New search for: Zhou, Yan
    New search for: Zhang, Qiulan
    New search for: Bai, Guoying
    New search for: Zhao, Hongyan
    New search for: Shuai, Guanyin
    New search for: Cui, Yali
    New search for: Shao, Jingli

    Access

    Download

    Access

    Download

    Page navigation

    Document information
    Similar titles

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    Document information
    Title:

    Groundwater dynamics clustering and prediction based on grey relational analysis and LSTM model: A case study in Beijing Plain, China

    Additional title:

    Journal of Hydrology: Regional Studies

    Contributors:

    Zhou, Yan (author) / Zhang, Qiulan (author) / Bai, Guoying (author) / Zhao, Hongyan (author) / Shuai, Guanyin (author) / Cui, Yali (author) / Shao, Jingli (author)

    Published in:

    Journal of Hydrology: Regional Studies ; 56 ; 102011

    Publication date:

    2024-12-01

    ISSN:

    2214-5818

    DOI:

    https://doi.org/10.1016/j.ejrh.2024.102011

    Type of media:

    Article (Journal)

    Type of material:

    Electronic Resource

    Language:

    English

    Licence:

    http://creativecommons.org/licenses/by-nc-nd/4.0/

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