The use of artificial neural network (ANN) for modeling of COD removal from antibiotic aqueous solution by the Fenton process

Journal of Hazardous Materials

Volumn 179, Issue 1-3, 2010, Pages 127-134

  Elmolla, Emad S ^a   Chaudhuri, Malay ^a   Eltoukhy, Mohamed Meselhy ^a  

^a DEPARTMENT OF CHEMICAL ENGINEERING   (Malaysia)

Author keywords

Amoxicillin; Ampicillin; Antibiotics; Artificial neural networks; Cloxacillin; Fenton process

Indexed keywords

AMOXICILLIN; ANTIBIOTIC DEGRADATION; AQUEOUS SOLUTIONS; ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION NEURAL NETWORKS; BACKPROPAGATION TRAINING ALGORITHM; COD REMOVAL; CORRELATION COEFFICIENT; FENTON PROCESS; HIDDEN LAYERS; LEVENBERG-MARQUARDT; LINEAR TRANSFER FUNCTION; MOLAR RATIO; NEURAL NETWORK MODELING; OUTPUT LAYER; REACTION TIME; RELATIVE IMPORTANCE; SIGMOID TRANSFER FUNCTION; THREE-LAYER;

ANTIBIOTICS; BACKPROPAGATION ALGORITHMS; COMPUTER SIMULATION; DEGRADATION; FORECASTING; MEAN SQUARE ERROR; PH EFFECTS; SENSITIVITY ANALYSIS; TRANSFER FUNCTIONS;

NEURAL NETWORKS;

AMOXICILLIN; AMPICILLIN; CLOXACILLIN; HYDROGEN PEROXIDE; IRON;

ANTIBIOTICS; AQUEOUS SOLUTION; ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION; BIODEGRADATION; CATALYSIS; CHEMICAL OXYGEN DEMAND; COMPUTER SIMULATION; LINEARITY; NUMERICAL MODEL; OPTIMIZATION; OXIDATION; PREDICTION; SENSITIVITY ANALYSIS; TRANSFER FUNCTION;

AQUEOUS SOLUTION; ARTICLE; ARTIFICIAL NEURAL NETWORK; CHEMICAL OXYGEN DEMAND; CONTROLLED STUDY; DEGRADATION KINETICS; FENTON REACTION; PH; PREDICTION; REACTION TIME; SENSITIVITY ANALYSIS; SIMULATION; WASTE COMPONENT REMOVAL; WASTE WATER MANAGEMENT;

ALGORITHMS; ANTI-BACTERIAL AGENTS; ARTIFICIAL INTELLIGENCE; HYDROGEN PEROXIDE; HYDROGEN-ION CONCENTRATION; IRON; MODELS, CHEMICAL; MODELS, STATISTICAL; NEURAL NETWORKS (COMPUTER); NEURONS; OXYGEN; REPRODUCIBILITY OF RESULTS; SOLUTIONS; WATER;

EID: 77952889835     PISSN: 03043894     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhazmat.2010.02.068     Document Type: Article

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