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Study on the Suitability of Different Machine Learning Models and Input Variables for Benggang Susceptibility Assessment
Benggang Erosion Control and Ecological Security | 更新时间：2026-09-10

    • Study on the Suitability of Different Machine Learning Models and Input Variables for Benggang Susceptibility Assessment

    • Journal of Soil and Water Conservation   Vol. 40, Issue 3, Pages: 47-57(2026)

    • DOI：10.13870/j.cnki.stbcxb.2026.03.037    

      CLC： P694
    • CSTR：32310.14.stbcxb.2026.03.037    

    • Received：08 January 2026，

      Revised：2026-02-06，

      Accepted：21 February 2026，

      Published：28 June 2026

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  • GUO Fei ， HUANG Gaoyu， LAI Peng， et al. Study on the suitability of different machine learning models and input variables for Benggang susceptibility assessment［J］. Journal of Soil and Water Conservation， DOI： 10.13870/j.cnki.stbcxb.2026.03.037. CSTR： 32310.14.stbcxb.2026.03.037.

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XIAO Wenfa
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Related Institution

Key Laboratory of Forest Ecology and Environment of National Forestry and Grassland Administration， Ecology and Nature Conservation Institute， Chinese Academy of Forestry
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