Frontiers of Environmental Science & Engineering >> 2024, Volume 18, Issue 2 doi: 10.1007/s11783-024-1780-y
Online soft measurement for wastewater treatment system based on hybrid deep learning
1. SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, School of Environment, South China Normal University, Guangzhou 510006, China;1. SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, School of Environment, South China Normal University, Guangzhou 510006, China;1. SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, School of Environment, South China Normal University, Guangzhou 510006, China;1. SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, School of Environment, South China Normal University, Guangzhou 510006, China;4. SCNU Qingyuan Institute of Science and Technology Innovation Co. Ltd., Qingyuan 511517, China;2. Fujian Environmental Protection Design Institute Co. Ltd., Fuzhou 350000, China;2. Fujian Environmental Protection Design Institute Co. Ltd., Fuzhou 350000, China;2. Fujian Environmental Protection Design Institute Co. Ltd., Fuzhou 350000, China;1. SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, School of Environment, South China Normal University, Guangzhou 510006, China;3. Huashi (Fujian) Environment Technology Co. Ltd., Quanzhou, 362001, China;5. Econ Technology Co. Ltd., Yantai 265503, China
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Abstract
● A hybrid model is proposed to overcome limitations of single model with time series.