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Hybrid decision tree-based machine learning models for short-term water quality prediction

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Year: 2020
Type: article
Source: Chemosphere
DOI: 10.1016/j.chemosphere.2020.126169
Authors: Hongfang Lu, Xin Ma
Institutions: Southwest Petroleum University, State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Louisiana Tech University, Southwest University of Science and Technology
Language: English

Topic: Hydrological Forecasting Using AI
Subfield: Environmental Engineering
Field: Environmental Science
Domain: Physical Sciences
SDG: Clean water and sanitation

Open Access status: closed

Funders: National Natural Science Foundation of China, Ministry of Education of the People's Republic of China, China Scholarship Council, Southwest Petroleum University, State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation
Awards: G3075742538, G4084368775, 融合深度核学习的灰色预测建模方法及其应用研究, G908337384
OpenAlex ID: W3006101764
FWCI: 28.41
Cites: 46
Cited by: 643
Related to: 10
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