Modeling and optimization of heterogeneous photo-fenton process with response surface methodology and artificial neural networks

Environmental Science and Technology

Volumn 42, Issue 21, 2008, Pages 7970-7975

  Kasiri, M B ^a   Aleboyeh, H ^a   Aleboyeh, A ^a  

^a UNIVERSITÉ DE HAUTE ALSACE   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ACIDS; AZO DYES; BACKPROPAGATION; BACKPROPAGATION ALGORITHMS; CATALYSIS; CHARGE COUPLED DEVICES; CONCENTRATION (PROCESS); DEGRADATION; IMAGE CLASSIFICATION; MINERALOGY; PH EFFECTS; PROCESS ENGINEERING; SURFACE PROPERTIES; VEGETATION; WASTEWATER TREATMENT; ZEOLITES;

ACID RED 14; ARTIFICIAL NEURAL NETWORKS; AZO-DYE; CENTRAL COMPOSITE DESIGNS; COMBINED EFFECTS; DATA FITTINGS; DEGRADATION EFFICIENCIES; FE-ZSM5; HETEROGENEOUS CATALYSTS; HETEROGENEOUS PHOTO-FENTON; INDEPENDENT PARAMETERS; INDEPENDENT VARIABLES; INITIAL CONCENTRATIONS; INITIAL PH; MINERALIZATION PROCESSES; MODELING AND OPTIMIZATIONS; MOLAR RATIOS; MULTILAYER FEED-FORWARD NETWORKS; PROCESS EFFICIENCIES; RESPONSE SURFACE METHODOLOGIES; SATISFACTORY PREDICTIONS;

NEURAL NETWORKS;

AZO DYE;

ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION; CATALYSIS; CONCENTRATION (COMPOSITION); DYE; MINERALIZATION; OPTIMIZATION; PH; ZEOLITE;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; CATALYST; CHEMICAL ANALYSIS; CHEMICAL REACTION; FENTON REACTION; PHOTOCHEMISTRY; RESPONSE SURFACE METHOD;

AZO COMPOUNDS; CHEMISTRY, INORGANIC; LIGHT; MODELS, CHEMICAL; NEURAL NETWORKS (COMPUTER); REGRESSION ANALYSIS;

EID: 55349107780     PISSN: 0013936X     EISSN: None     Source Type: Journal    
DOI: 10.1021/es801372q     Document Type: Article

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