Artificial neural network modelling of a large-scale wastewater treatment plant operation

Bioprocess and Biosystems Engineering

Volumn 33, Issue 9, 2010, Pages 1051-1058

  Güçlü, Dünyamin ^a   Dursun, Şükrü ^a  

^a SELCUK UNIVERSITY   (Turkey)

Author keywords

Activated sludge process; Artificial neural network; Modelling; Wastewater treatment plant

Indexed keywords

AERATION TANKS; ARTIFICIAL INTELLIGENCE METHODS; ARTIFICIAL NEURAL NETWORK; ARTIFICIAL NEURAL NETWORKS; COMPLEX PROCESSES; DEVELOPED MODEL; MEAN ABSOLUTE ERROR; MEAN ABSOLUTE PERCENTAGE ERROR; MIXED LIQUOR SUSPENDED SOLIDS; MODELLING; MODELLING APPROACHES; PERFORMANCE PREDICTION; PREDICTIVE MODELS; ROOT MEAN SQUARE ERRORS; SATISFACTORY PREDICTIONS; SUSPENDED SOLIDS; TRAINING AND TESTING; WASTEWATER TREATMENT PLANT; WASTEWATER TREATMENT PLANTS;

ACTIVATED SLUDGE PROCESS; BACKPROPAGATION ALGORITHMS; CHEMICAL OXYGEN DEMAND; EFFLUENT TREATMENT; EFFLUENTS; OXYGEN; RECLAMATION; SEWAGE PUMPING PLANTS; SEWAGE TANKS; TOXICITY; WASTEWATER; WASTEWATER TREATMENT; WATER TREATMENT PLANTS;

NEURAL NETWORKS;

AERATION; ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION; CHEMICAL OXYGEN DEMAND; CONTROLLED STUDY; EFFLUENT; MEASUREMENT ERROR; PREDICTION; PRIORITY JOURNAL; PROCESS CONTROL; PROCESS MODEL; SIMULATION; SUSPENDED PARTICULATE MATTER; WASTE WATER MANAGEMENT; WASTE WATER TREATMENT PLANT;

ALGORITHMS; CITIES; COMPUTER SIMULATION; COMPUTERS; EQUIPMENT DESIGN; MODELS, THEORETICAL; NEURAL NETWORKS (COMPUTER); REPRODUCIBILITY OF RESULTS; TIME FACTORS; TURKEY; WASTE DISPOSAL, FLUID; WATER POLLUTANTS, CHEMICAL; WATER PURIFICATION;

EID: 77958083206     PISSN: 16157591     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00449-010-0430-x     Document Type: Article

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