Ozonation Kinetics of Acid Red 27 Azo Dye: A Novel Methodology Based on Artificial Neural Networks for the Determination of Dynamic Kinetic Constants in Bubble Column Reactors

Chemical Engineering Communications

Volumn 202, Issue 3, 2015, Pages 279-293

  Ferre Aracil, J ^a   Cardona, S C ^a   Navarro Laboulais, J ^a  

^a UNIVERSITAT POLITÈCNICA DE VALÈNCIA   (Spain)

Author keywords

Artificial neural network; Bubble column reactor; Kinetic rate constant estimation; Ozonation

Indexed keywords

AZO DYES; BUBBLE COLUMNS; DYES; KINETICS; MEAN SQUARE ERROR; OZONE; OZONIZATION; RATE CONSTANTS; SENSITIVITY ANALYSIS;

BUBBLE COLUMN REACTORS; EXPERIMENTAL CONDITIONS; GAS-LIQUID REACTION; KINETIC RATE CONSTANTS; MEAN SQUARED ERROR; OBJECTIVE FUNCTIONS; OPTIMIZATION METHOD; PARAMETER SENSITIVITY ANALYSIS;

NEURAL NETWORKS;

EID: 84908179449     PISSN: 00986445     EISSN: 15635201     Source Type: Journal    
DOI: 10.1080/00986445.2013.841146     Document Type: Article

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