Modelling of COD removal in a biological wastewater treatment plant using adaptive neuro-fuzzy inference system and artificial neural network

Water Science and Technology

Volumn 60, Issue 6, 2009, Pages 1475-1487

  Civelekoglu, G ^a   Yigit, N O ^a   Diamadopoulos, E ^b   Kitis, M ^a  

^a SULEYMAN DEMIREL UNIVERSITY   (Turkey)

^b TECHNICAL UNIVERSITY OF CRETE   (Greece)

Author keywords

ANFIS; ANN; COD; Modelling; Wastewater treatment

Indexed keywords

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; AEROBIC BIOLOGICAL WASTEWATER TREATMENT; ANFIS; ARTIFICIAL NEURAL NETWORK; BIOLOGICAL PROCESS; BIOLOGICAL WASTEWATER TREATMENT PLANT; COD REMOVAL; DETERMINATION COEFFICIENTS; ERROR RANGE; MODEL DEVELOPMENT; MODELLING METHOD; PERFORMANCE PREDICTION; WASTEWATER QUALITY PARAMETERS; WASTEWATER TREATMENT PLANTS;

BIOCHEMICAL OXYGEN DEMAND; BIOLOGICAL WATER TREATMENT; EFFLUENT TREATMENT; EFFLUENTS; FUZZY INFERENCE; FUZZY SYSTEMS; NEURAL NETWORKS; ORGANIC CARBON; SEWAGE PUMPING PLANTS; TOXICITY; WASTEWATER; WASTEWATER RECLAMATION; WASTEWATER TREATMENT; WATER TREATMENT PLANTS;

WATER RECYCLING;

ORGANIC CARBON;

ARTIFICIAL NEURAL NETWORK; CHEMICAL OXYGEN DEMAND; ORGANIC CARBON; WASTE TREATMENT; WASTEWATER;

ANALYTICAL ERROR; ARTICLE; ARTIFICIAL NEURAL NETWORK; CHEMICAL OXYGEN DEMAND; EFFLUENT; FUZZY SYSTEM; WASTE WATER MANAGEMENT; WATER ANALYSIS; WATER QUALITY;

DECISION MAKING; FUZZY LOGIC; LINEAR MODELS; MEDICAL WASTE DISPOSAL; MODELS, CHEMICAL; MULTIVARIATE ANALYSIS; NEURAL NETWORKS (COMPUTER); ORGANIC CHEMICALS; OXYGEN; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY OF RESULTS; WASTE DISPOSAL, FLUID;

EID: 77953145766     PISSN: 02731223     EISSN: None     Source Type: Journal    
DOI: 10.2166/wst.2009.482     Document Type: Article

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