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机器学习与用于预测建模和实验验证的统计模型相比:在地下水透反应屏障宽度设计中的应用

Fengshi Guo1, Yangmin Ren1, Yongyue Zhou1

  • 1School of Civil, Environmental, and Architectural Engineering, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul 02841, the Republic of Korea.

Journal of hazardous materials
|March 2, 2024
PubMed
概括

这项研究引入了机器学习 (ML) 用于设计透反应屏障 (PRB) 来从地下水中去除. 机器学习准确预测屏障宽度,比传统方法提高效率.

关键词:
设计设计设计设计设计设计.地下水是什么 地下水是什么机器学习是机器学习.透的反应屏障是可以透过的.统计模型 统计模型

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