Development of a wide-range soft sensor for predicting wastewater BOD<sub>5</sub> using an eXtreme gradient boosting (XGBoost) machine.

Ching, P M L; Zou, X; Wu, Di; So, R H Y; Chen, G H

Development of a wide-range soft sensor for predicting wastewater BOD₅ using an eXtreme gradient boosting (XGBoost) machine.

Ching, P M L; Zou, X; Wu, Di; So, R H Y; Chen, G H.

Afiliación

Ching PML; Bioengineering Graduate Program, Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Hong Kong SAR, China.
Zou X; Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Hong Kong SAR, China.
Wu D; Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Hong Kong SAR, China; Center for Environmental and Energy Research, Ghent University Global Campus, Republic of Korea; Department of Green Chemistry and Technology, Ghent University, Belgium. Elect
So RHY; Department of Industrial Engineering and Decision Analytics, The Hong Kong University of Science and Technology, Hong Kong SAR, China.
Chen GH; Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Hong Kong SAR, China.

Environ Res ; 210: 112953, 2022 07.

Article en En | MEDLINE | ID: mdl-35182590

Asunto(s)

Aguas Residuales; Purificación del Agua

Palabras clave

Biochemical oxygen demand (BOD); Machine learning; Real-time monitoring; Soft sensor; XGBoost

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Purificación del Agua / Aguas Residuales Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Environ Res Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Países Bajos

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