Applied gradient boosting decision tree algorithms for accurate prediction of trihalomethanes: A case study in dual-sources drinking water distribution system in metropolitan-Reference-Cited by-同舟云学术

Applied gradient boosting decision tree algorithms for accurate prediction of trihalomethanes: A case study in dual-sources drinking water distribution system in metropolitan

Published:2023-12 Issue: Volume:56 Page:104416
ISSN:2214-7144
Container-title:Journal of Water Process Engineering
language:en
Short-container-title:Journal of Water Process Engineering

Author:

Li Huiping,Huo Ranran,Xu Xiaoyan,Zhou Baiqin,Hu Mengxian,Zhou Ting,Dong Xiaochen,Huang Runyao,Xie Li,Pang Weihai

Funder

Ministry of Science and Technology of the People's Republic of China

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Process Chemistry and Technology,Waste Management and Disposal,Safety, Risk, Reliability and Quality,Biotechnology

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