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Updated: Sep 11, 2025

An R-Based Landscape Validation of a Competing Risk Model
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An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

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通过结合Newmark模型和XGBoost算法来评估共同地震山体滑坡的易感性

Cong Zhang1, Zifa Wang2,3,4, Jintao Xiao1

  • 1School of Civil and Architecture Engineering, Henan University, Kaifeng, China.

PloS one
|August 11, 2025
PubMed
概括

这项研究将Newmark物理模型与机器学习相结合,以准确评估地震滑坡的易感性. 混合N_XGB模型显示出卓越的预测准确性,改善了山体滑坡风险评估和管理.

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