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    Hybrid deep learning approach for rock tunnel deformation prediction based on spatio-temporal patterns

    New search for: Sun, Junfeng
    New search for: Fang, Yong
    New search for: Luo, Hu
    New search for: Yao, Zhigang
    New search for: Xiang, Long
    New search for: Wang, Jianfeng
    New search for: Wang, Yubo
    New search for: Jiang, Yifan

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    Hybrid deep learning approach for rock tunnel deformation prediction based on spatio-temporal patterns

    New search for: Sun, Junfeng
    New search for: Fang, Yong
    New search for: Luo, Hu
    New search for: Yao, Zhigang
    New search for: Xiang, Long
    New search for: Wang, Jianfeng
    New search for: Wang, Yubo
    New search for: Jiang, Yifan

    Access

    Download

    Hybrid deep learning approach for rock tunnel deformation prediction based on spatio-temporal patterns

    New search for: Sun, Junfeng
    New search for: Fang, Yong
    New search for: Luo, Hu
    New search for: Yao, Zhigang
    New search for: Xiang, Long
    New search for: Wang, Jianfeng
    New search for: Wang, Yubo
    New search for: Jiang, Yifan

    Access

    Download

    Access

    Download

    Page navigation

    Document information
    Similar titles

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    Document information
    Title:

    Hybrid deep learning approach for rock tunnel deformation prediction based on spatio-temporal patterns

    Additional title:

    Underground Space

    Contributors:

    Sun, Junfeng (author) / Fang, Yong (author) / Luo, Hu (author) / Yao, Zhigang (author) / Xiang, Long (author) / Wang, Jianfeng (author) / Wang, Yubo (author) / Jiang, Yifan (author)

    Published in:

    Underground Space ; 20 ; 100-118

    Publication date:

    2025-02-01

    ISSN:

    2467-9674

    DOI:

    https://doi.org/10.1016/j.undsp.2024.04.008

    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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