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Displacement prediction of tunnel entrance slope based on variational modal decomposition and grey wolf optimized extreme learning machine
更新时间：2025-05-26

    • Displacement prediction of tunnel entrance slope based on variational modal decomposition and grey wolf optimized extreme learning machine

    • “In the field of displacement monitoring at high-speed railway tunnel entrances, experts have established the VMD-GWO-ELM model to verify its high prediction accuracy and applicability, providing a solution for solving displacement monitoring problems.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 53, Issue 6, Pages: 1853-1860(2023)
    • 作者机构：

      1.大连交通大学 交通运输工程学院， 辽宁 大连 116028

      2.大连交通大学 辽宁省高寒地区高铁技术工程研究中心， 辽宁 大连 116028

      3.郑州铁路职业技术学院 电气工程学院， 郑州 450002

    • DOI：10.13229/j.cnki.jdxbgxb.20230074    

      CLC： X928.03

    • Received：28 January 2023，

      Published：01 June 2023

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  • LI Bo,LI Xin,RUI Hong,et al.Displacement prediction of tunnel entrance slope based on variational modal decomposition and grey wolf optimized extreme learning machine[J].Journal of Jilin University(Engineering and Technology Edition),2023,53(06):1853-1860. DOI： 10.13229/j.cnki.jdxbgxb.20230074.

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