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Updated: Jul 18, 2025

Composition and Distribution Analysis of Bioaerosols Under Different Environmental Conditions
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基于多种类型的地方,构建和评估每小时平均室内PM2.5度预测模型

Yewen Shi1, Zhiyuan Du2, Jianghua Zhang1

  • 1Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China.

Frontiers in public health
|August 28, 2023
PubMed
概括

机器学习模型准确地预测室内细颗粒物 (PM2.5) 水平. 随机森林回归模型在评估室内空气质量时,与多重线性回归模型相比,表现优越.

关键词:
对于PM2.5来说,这是一个很好的例子.室内空气质量 室内空气质量机器学习是机器学习.预测模型 预测模型随机的森林随机的森林

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