A hybrid artificial neural network and particle swarm optimization for prediction of removal of hazardous dye brilliant green from aqueous solution using zinc sulfide nanoparticle loaded on activated carbon

Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy

Volumn 137, Issue , 2015, Pages 1004-1015

  Ghaedi, M ^a   Ansari, A ^b   Bahari, F ^b   Ghaedi, A M ^c   Vafaei, A ^c  

^a YASOUJ UNIVERSITY   (Iran)

^b ISLAMIC AZAD UNIVERSITY   (Iran)

^c ISLAMIC AZAD UNIVERSITY   (Iran)

Author keywords

Adsorption; Brilliant green; Hybrid artificial neural network; Partial swarm optimization; Zinc sulfide nanoparticle

Indexed keywords

ACTIVATED CARBON; CHEMICALS REMOVAL (WATER TREATMENT); FORECASTING; II-VI SEMICONDUCTORS; KINETIC PARAMETERS; KINETIC THEORY; LINEAR REGRESSION; MEAN SQUARE ERROR; NANOPARTICLES; NEURAL NETWORKS; PARTICLE SWARM OPTIMIZATION (PSO); SOLUTIONS; STATISTICAL TESTS; SULFUR COMPOUNDS; SYNTHESIS (CHEMICAL); ZINC SULFIDE;

BRILLIANT GREEN; COEFFICIENT OF DETERMINATION; HYBRID ARTIFICIAL NEURAL NETWORK; INITIAL DYE CONCENTRATION; MULTIPLE LINEAR REGRESSIONS; PARTIAL SWARM OPTIMIZATIONS; PSEUDO-SECOND-ORDER KINETIC MODELS; ZINC SULFIDE NANOPARTICLES;

ADSORPTION;

BRILLIANT GREEN; CHARCOAL; NANOPARTICLE; QUATERNARY AMMONIUM DERIVATIVE; SULFIDE; ZINC DERIVATIVE; ZINC SULFIDE;

ARTIFICIAL NEURAL NETWORK; CHEMICAL MODEL; CHEMISTRY; PROCEDURES; WATER MANAGEMENT;

CHARCOAL; MODELS, CHEMICAL; NANOPARTICLES; NEURAL NETWORKS (COMPUTER); QUATERNARY AMMONIUM COMPOUNDS; SULFIDES; WATER PURIFICATION; ZINC COMPOUNDS;

EID: 84907480723     PISSN: 13861425     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.saa.2014.08.011     Document Type: Article

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