2024年 第18卷 第2期
《环境科学与工程前沿（英文）》 >> 2024年 第18卷 第2期 doi: 10.1007/s11783-024-1777-6
Development of gradient boosting-assisted machine learning data-driven model for free chlorine residual prediction
1. School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA;1. School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA;2. School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200241, China;1. School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA;1. School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA;1. School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
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摘要
● A machine learning approach was applied to predict free chlorine residuals.
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