Using a Land Use Regression Model with Machine Learning to Estimate Ground Level PM2.5

标题
Using a Land Use Regression Model with Machine Learning to Estimate Ground Level PM2.5
作者
关键词
PM, 2.5, Land-use regression, Variable selection, Machine learning, Extreme gradient boosting
出版物
ENVIRONMENTAL POLLUTION
Volume -, Issue -, Pages 116846
出版商
Elsevier BV
发表日期
2021-03-02
DOI
10.1016/j.envpol.2021.116846

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