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Displacement prediction of highway slope based on variational mode decomposition and extreme gradient boosting
更新时间：2025-09-12

    • Displacement prediction of highway slope based on variational mode decomposition and extreme gradient boosting

    • “In the field of highway slope displacement monitoring, experts have proposed optimized regression prediction algorithms using VMD and XGBoost, which have improved prediction accuracy and robustness, providing new ideas for slope displacement prediction and safety warning research.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 55, Issue 7, Pages: 2320-2332(2025)
    • 作者机构：

      1.长安大学 运输工程学院，西安 710064

      2.道路基础设施数字化教育部工程研究中心，西安 710064

      3.陕西高速公路工程试验检测有限公司，西安 710086

      4.长安大学 公路学院，西安 710064

    • DOI：10.13229/j.cnki.jdxbgxb.20231197    

      CLC： U41;X928.03

    • Received：04 November 2023，

      Published：01 July 2025

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  • LONG Zhi-you,WAN Zhao-long,DONG Shi,et al.Displacement prediction of highway slope based on variational mode decomposition and extreme gradient boosting[J].Journal of Jilin University(Engineering and Technology Edition),2025,55(07):2320-2332. DOI： 10.13229/j.cnki.jdxbgxb.20231197.

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