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Updated: Jul 9, 2025

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation
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Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation

Published on: February 9, 2024

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在夏威夷夏威夷岛上改善预测野火易感性,使用可解释的混合机器学习模型

Trang Thi Kieu Tran1, Saeid Janizadeh1, Sayed M Bateni1

  • 1Department of Civil, Environmental and Construction Engineering and Water Resources Research Center, University of Hawai'i at Manoa, Honolulu, HI, 96822, USA.

Journal of environmental management
|December 7, 2023
PubMed
概括

这项研究比较了四种机器学习模型,用于在夏威夷岛上绘制野火易感性地图. 黑寡妇优化-极端梯度提升 (BWO-XGBoost) 模型显示出最好的预测性能,有助于野火管理.

关键词:
黑寡妇优化优化 黑寡妇优化蝶优化优化 蝶优化在夏威夷的夏威夷.鱼优化优化 鱼的优化野火易感性测绘地图 野火易感性测绘地图

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