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    Incorporating multiple grid-based data in CNN-LSTM hybrid model for daily runoff prediction in the source region of the Yellow River Basin

    New search for: Hu, Feichi
    New search for: Yang, Qinli
    New search for: Yang, Junran
    New search for: Luo, Zhengming
    New search for: Shao, Junming
    New search for: Wang, Guoqing

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    Incorporating multiple grid-based data in CNN-LSTM hybrid model for daily runoff prediction in the source region of the Yellow River Basin

    New search for: Hu, Feichi
    New search for: Yang, Qinli
    New search for: Yang, Junran
    New search for: Luo, Zhengming
    New search for: Shao, Junming
    New search for: Wang, Guoqing

    Access

    Download

    Incorporating multiple grid-based data in CNN-LSTM hybrid model for daily runoff prediction in the source region of the Yellow River Basin

    New search for: Hu, Feichi
    New search for: Yang, Qinli
    New search for: Yang, Junran
    New search for: Luo, Zhengming
    New search for: Shao, Junming
    New search for: Wang, Guoqing

    Access

    Download

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    Document information
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    Document information
    Title:

    Incorporating multiple grid-based data in CNN-LSTM hybrid model for daily runoff prediction in the source region of the Yellow River Basin

    Additional title:

    Journal of Hydrology: Regional Studies

    Contributors:

    Hu, Feichi (author) / Yang, Qinli (author) / Yang, Junran (author) / Luo, Zhengming (author) / Shao, Junming (author) / Wang, Guoqing (author)

    Published in:

    Journal of Hydrology: Regional Studies ; 51

    Publication date:

    2024-02-01

    ISSN:

    2214-5818

    DOI:

    https://doi.org/10.1016/j.ejrh.2023.101652

    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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