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Updated: May 1, 2026

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树木结构的帕森估计器优化-自动机器学习辅助元分析预测生物炭驱动的N2O缓解效应在建筑湿地

Bi-Ni Jiang1, Ying-Ying Zhang2, Zhi-Yong Zhang2

  • 1School of Environment, Nanjing Normal University, Jiangsu Province Engineering Research Center of Environmental Risk Prevention and Emergency Response Technology, Jiangsu Engineering Lab of Water and Soil Eco-remediation, Wenyuan Road 1, Nanjing 210023, China; Institute of Agricultural Resources and Environment, Jiangsu Academy of Agricultural Sciences, Ministry of Agriculture and Rural Affairs, Liuhe Observation and Experimental Station of National Agro-Environment, Nanjing, 210014, China.

Journal of environmental management
|February 18, 2024
PubMed
概括

在建筑湿地 (CWs) 中使用生物炭可以减轻温室气体 (GHG) 排放,但其对氧化 (N2O) 的影响尚不确定. 这项研究引入了一种新的指标,并使用机器学习准确预测N2O缓解,识别了优化生物炭的COD/TN比率等关键因素.

关键词:
自动机器学习自动化机器学习生物炭是一种生物炭.超参数调整 超参数调整氧化氧化物是什么?优化 TPE 的优化.

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