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Data-Knowledge-Driven Inductive Learning Method for Modeling Wastewater Treatment Processes

Year: 2024

Type: article

Source: IEEE Transactions on Systems Man and Cybernetics Systems

DOI: 10.1109/tsmc.2024.3485470

Authors: Honggui Han, Chenxuan Sun, Xiaolong Wu, Hongyan Yang, Nan Zhao, Junfei Qiao, Dezheng Zhao

Institutions: Beijing University of Technology, Beijing Drainage Group (China), China Electronics Corporation (China)

Language: English

Topic: Fault Detection and Control Systems

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Clean water and sanitation, Responsible consumption and production, Industry, innovation and infrastructure

Open Access status: closed

Funders: National Natural Science Foundation of China, China Postdoctoral Science Foundation, Beijing Postdoctoral Science Foundation, National Key Research and Development Program of China

Awards: G3338680186, G3929591211, G5769154066, G7438133095, G768234867, G7698533641, G8214937645, G8605692028

OpenAlex ID: W4404056983

FWCI: 0.48

Cites: 65

Cited by: 3

Related to: 10