An artificial neural network model and design equations for BOD and COD removal prediction in horizontal subsurface flow constructed wetlands

Chemical Engineering Journal

Volumn 143, Issue 1-3, 2008, Pages 96-110

  Akratos, Christos S ^a   Papaspyros, John N E ^a   Tsihrintzis, Vassilios A ^a  

^a School of Production and Management Engineering   (Greece)

Author keywords

Artificial neural networks; BOD; COD; Constructed wetlands; Horizontal subsurface flow; Principal component analysis; Removal model

Indexed keywords

ARTIFICIAL INTELLIGENCE; BACKPROPAGATION; BIOCHEMICAL OXYGEN DEMAND; CHEMICAL OXYGEN DEMAND; ELASTIC MODULI; ELECTRIC FAULT LOCATION; FINANCIAL DATA PROCESSING; FLUID MECHANICS; FORECASTING; HYDRAULICS; IMAGE CLASSIFICATION; JOINTS (STRUCTURAL COMPONENTS); KETONES; LIGHTNING; POROUS MATERIALS; PRINCIPAL COMPONENT ANALYSIS; ROADS AND STREETS; VEGETATION; WASTEWATER TREATMENT; WETLANDS;

ARTIFICIAL NEURAL NETWORK MODELING; ARTIFICIAL NEURAL NETWORKS; BOD; BOD REMOVAL; COD; COD REMOVAL; CONSTRUCTED WETLANDS; DESIGN EQUATIONS; EXPERIMENTAL DATA; FIRST-ORDER KINETICS; HORIZONTAL SUBSURFACE FLOW; HORIZONTAL SUBSURFACE FLOW CONSTRUCTED WETLANDS; HYDRAULIC RESIDENCE TIME; HYDRAULIC RESIDENCE TIMES; MAIN PARAMETERS; METEOROLOGICAL PARAMETERS; MODEL DESIGN; MODEL RESULTS; PILOT-SCALE; POROUS MEDIUMS; PRINCIPAL COMPONENT ANALYSIS (PCA); REMOVAL MODEL; WASTEWATER TEMPERATURE;

NEURAL NETWORKS;

EID: 50649100676     PISSN: 13858947     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cej.2007.12.029     Document Type: Article

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