Combination of artificial neural network and genetic algorithm method for modeling of methylene blue adsorption onto wood sawdust from water samples

Toxicology and Industrial Health

Volumn 32, Issue 3, 2016, Pages 437-446

  Khajeh, Mostafa ^a   Sarafraz Yazdi, Ali ^b   Natavan, Zahra Bameri ^a  

^a UNIVERSITY OF ZABOL   (Iran)

^b FERDOWSI UNIVERSITY OF MASHHAD   (Iran)

Author keywords

artificial neural network; genetic algorithm; Methylene blue; sawdust; solid phase extraction

Indexed keywords

ADSORBENT; METHYLENE BLUE; WATER; SODIUM HYDROXIDE; SULFURIC ACID; WATER POLLUTANT;

ADSORPTION KINETICS; ARTICLE; ARTIFICIAL NEURAL NETWORK; GENETIC ALGORITHM; HIGH PERFORMANCE LIQUID CHROMATOGRAPHY; LIMIT OF DETECTION; PH; SAWDUST; SOLID PHASE EXTRACTION; TEMPERATURE; WOOD DUST; ADSORPTION; ALGORITHM; ANALYSIS; CHEMISTRY; THEORETICAL MODEL; WATER MANAGEMENT; WATER POLLUTANT; WOOD;

ADSORPTION; ALGORITHMS; METHYLENE BLUE; MODELS, THEORETICAL; NEURAL NETWORKS (COMPUTER); SODIUM HYDROXIDE; SULFURIC ACIDS; TEMPERATURE; WATER POLLUTANTS, CHEMICAL; WATER PURIFICATION; WOOD;

EID: 84961246578     PISSN: 07482337     EISSN: 14770393     Source Type: Journal    
DOI: 10.1177/0748233713502842     Document Type: Article

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