Application of PSO-artificial neural network and response surface methodology for removal of methylene blue using silver nanoparticles from water samples

Journal of Industrial and Engineering Chemistry

Volumn 19, Issue 5, 2013, Pages 1624-1630

  Khajeh, Mostafa ^a   Kaykhaii, Massoud ^b   Sharafi, Arezoo ^b  

^a UNIVERSITY OF ZABOL   (Iran)

^b UNIVERSITY OF SISTAN AND BALUCHESTAN   (Iran)

Author keywords

Artificial neural network; Methylene blue; Particle swarm optimization; Response surface methodology; Silver nanoparticles

Indexed keywords

METHYLENE BLUE; OPTIMUM CONDITIONS; RELATIVE STANDARD DEVIATIONS; RESPONSE SURFACE METHODOLOGY; SILVER NANOPARTICLES; SIMULATION AND OPTIMIZATION; SOLID PHASE EXTRACTION METHOD; UV-VIS SPECTROPHOTOMETRY;

AROMATIC COMPOUNDS; COMPUTER SIMULATION; EXTRACTION; NANOPARTICLES; NEURAL NETWORKS; PARTICLE SWARM OPTIMIZATION (PSO); PHASE SEPARATION; SURFACE PROPERTIES;

SILVER;

EID: 84880580706     PISSN: 1226086X     EISSN: 22345957     Source Type: Journal    
DOI: 10.1016/j.jiec.2013.01.033     Document Type: Article

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