Modeling of effluent COD in UAF reactor treating cyanide containing wastewater using artificial neural network approaches

Advances in Engineering Software

Volumn 41, Issue 7-8, 2010, Pages 1005-1010

  Yilmaz, Turan ^a   Seckin, Galip ^a   Yuceer, Ahmet ^a  

^a CUKUROVA UNIVERSITY   (Turkey)

Author keywords

Anaerobic treatment; Artificial neural networks; Cyanide; Inhibition; Modelling; Waste water treatment

Indexed keywords

CHEMICAL OXYGEN DEMAND; CYANIDES; EFFLUENTS; OXYGEN; SEWAGE; WASTEWATER; WASTEWATER TREATMENT;

ANAEROBIC FILTERS; ANAEROBIC TREATMENTS; ARTIFICIAL NEURAL NETWORK; ARTIFICIAL NEURAL NETWORK APPROACH; ARTIFICIAL NEURAL NETWORKS; DETERMINATION COEFFICIENTS; GENERALIZED REGRESSION NEURAL NETWORKS; HYDRAULIC RETENTION TIME; LEVENBERG-MARQUARDT ALGORITHM; MEAN ABSOLUTE ERROR; MLP NEURAL NETWORKS; MULTI LAYER PERCEPTRON; NEURAL NETWORK TECHNIQUES; OUTPUT VARIABLES; RADIAL BASIS NEURAL NETWORKS; RELATIVE ERRORS; ROBUST MODELS; ROOT MEAN SQUARE ERRORS; STATISTICAL CRITERION;

NEURAL NETWORKS;

EID: 77955472751     PISSN: 09659978     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.advengsoft.2010.04.002     Document Type: Article

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