Development of an artificial neural network model for adsorption and photocatalysis of reactive dye on TiO2 surface

Expert Systems with Applications

Volumn 37, Issue 12, 2010, Pages 8634-8638

  Dutta, Suman ^a   Parsons, Simon A ^b   Bhattacharjee, Chiranjib ^a   Bandhyopadhyay, Sibdas ^c   Datta, Siddhartha ^a  

^a JADAVPUR UNIVERSITY   (India)

^b CRANFIELD UNIVERSITY   (United Kingdom)

^c CSIR CENTRAL GLASS AND CERAMIC RESEARCH INSTITUTE   (India)

Author keywords

Adsorption; Artificial neural network; Model validation; Photocatalysis; Water treatment

Indexed keywords

ADSORPTION; CATALYSIS; DEEP NEURAL NETWORKS; EFFICIENCY; EFFLUENT TREATMENT; EFFLUENTS; NEURAL NETWORKS; PHOTOCATALYSIS; SEWAGE; SEWAGE PUMPING PLANTS; WASTEWATER TREATMENT; WATER TREATMENT; WATER TREATMENT PLANTS;

ADSORPTION CAPACITIES; ADSORPTION EFFICIENCY; ARTIFICIAL NEURAL NETWORK MODELING; INITIAL DYE CONCENTRATION; MODEL VALIDATION; PHOTOCATALYTIC EFFICIENCY; TRIAL-AND-ERROR METHOD; WASTEWATER TREATMENT PLANTS;

INDUSTRIAL WATER TREATMENT;

EID: 77957850963     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2010.06.090     Document Type: Article

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