Modeling of quaternary dyes adsorption onto ZnO-NR-AC artificial neural network: Analysis by derivative spectrophotometry

Journal of Industrial and Engineering Chemistry

Volumn 34, Issue , 2016, Pages 186-197

  Dil, E Alipanahpour ^a   Ghaedi, M ^a   Ghaedi, A M ^b   Asfaram, A ^a   Goudarzi, A ^c   Hajati, S ^a   Soylak, M ^d   Agarwal, Shilpi ^e,f   Gupta, Vinod Kumar ^e,f  

^a YASOUJ UNIVERSITY   (Iran)

^b ISLAMIC AZAD UNIVERSITY   (Iran)

^c GOLESTAN UNIVERSITY   (Iran)

^d ERCIYES UNIVERSITY   (Turkey)

^e INDIAN INSTITUTE OF TECHNOLOGY ROORKEE   (India)

^f UNIVERSITY OF JOHANNESBURG   (South Africa)

Author keywords

Artificial neural network; Isotherms; Kinetics; Response surface methodology; ZnO NRs AC

Indexed keywords

ADSORPTION; ENZYME KINETICS; ISOTHERMS; MEAN SQUARE ERROR; NEURAL NETWORKS; SOLUTIONS; STRIPPING (DYES); ZINC OXIDE;

ADSORPTION CAPACITIES; DERIVATIVE SPECTROPHOTOMETRY; EFFICIENT PREDICTIONS; LANGMUIR ISOTHERM MODELS; MINIMUM MEAN SQUARED ERROR; OPTIMIZED PARAMETER; RESPONSE SURFACE METHODOLOGY; ZNO;

ANALYSIS OF VARIANCE (ANOVA);

EID: 84953637148     PISSN: 1226086X     EISSN: 22345957     Source Type: Journal    
DOI: 10.1016/j.jiec.2015.11.010     Document Type: Article

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