Modeling of the activated sludge process by using artificial neural networks with automated architecture screening

Computers and Chemical Engineering

Volumn 32, Issue 10, 2008, Pages 2471-2478

  Moral, Hakan ^a   Aksoy, Aysegul ^a   Gokcay, Celal F ^a  

^a MIDDLE EAST TECHNICAL UNIVERSITY   (Turkey)

Author keywords

Activated sludge process; Artificial intelligence; Artificial neural networks; Modeling

Indexed keywords

ARTIFICIAL INTELLIGENCE; BACKPROPAGATION; BIOACTIVITY; BIOCHEMICAL OXYGEN DEMAND; CHEMICAL OXYGEN DEMAND; COMPUTER ARCHITECTURE; CORRELATION METHODS; EFFLUENTS; FORECASTING; MATLAB; NETWORK ARCHITECTURE; NEURAL NETWORKS; OXYGEN; RECLAMATION; SEWAGE PUMPING PLANTS; SEWAGE TREATMENT; VEGETATION; WASTEWATER RECLAMATION; WASTEWATER TREATMENT; WATER RECYCLING; WATER TREATMENT; WATER TREATMENT PLANTS;

ACTIVATED SLUDGE MODEL NO.1 (ASM1); ACTIVATED SLUDGE PROCESS (ASP); ACTIVATED SLUDGES; ANN MODELING; APPLIED (CO); ARTIFICIAL NEURAL NETWORK (ANN) MODELS; ARTIFICIAL NEURAL NETWORK (ANNS); CHEMICAL OXYGEN; CORRELATION COEFFICIENT (CC); INPUT AND OUTPUT (I/O); OUTPUT VARIABLES; R VALUES; SIMULATION MODELLING; WASTE WATER TREATMENT (WWT) PLANTS;

ACTIVATED SLUDGE PROCESS;

EID: 47849094032     PISSN: 00981354     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compchemeng.2008.01.008     Document Type: Article

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