SCOPUS 정보 검색 플랫폼

Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy

Volumn 132, Issue , 2014, Pages 639-654

Artificial neural network and particle swarm optimization for removal of methyl orange by gold nanoparticles loaded on activated carbon and Tamarisk

(5) Ghaedi, M a Ghaedi, A M b Ansari, A b Mohammadi, F b Vafaei, A b

a YASOUJ UNIVERSITY (Iran)

b ISLAMIC AZAD UNIVERSITY (Iran)

Author keywords

Artificial neural network; Gold nanoparticles; Methyl orange; Partial swarm optimization; Tamarisk

Indexed keywords

ACTIVATED CARBON; AZO DYES; GOLD; LINEAR REGRESSION; METAL NANOPARTICLES; NEURAL NETWORKS; PARTICLE SWARM OPTIMIZATION (PSO);

COEFFICIENT OF DETERMINATION; GOLD NANOPARTICLES; INTRAPARTICLE DIFFUSION MODELS; METHYL ORANGE; MULTIPLE LINEAR REGRESSIONS; NEURAL NETWORK AND PARTICLE SWARM OPTIMIZATIONS; PARTIAL SWARM OPTIMIZATIONS; TAMARISK;

DYES;

AZO COMPOUND; CHARCOAL; COLORING AGENT; GOLD; METAL NANOPARTICLE; METHYL ORANGE;

ADSORPTION; ALGORITHM; ARTIFICIAL NEURAL NETWORK; CHEMISTRY; ISOLATION AND PURIFICATION; KINETICS; PH; POROSITY; STATISTICAL MODEL; TAMARICACEAE; TEMPERATURE; TIME; ULTRASTRUCTURE; ULTRAVIOLET SPECTROPHOTOMETRY;

ADSORPTION; ALGORITHMS; AZO COMPOUNDS; CHARCOAL; COLORING AGENTS; GOLD; HYDROGEN-ION CONCENTRATION; KINETICS; LINEAR MODELS; METAL NANOPARTICLES; NEURAL NETWORKS (COMPUTER); POROSITY; SPECTROPHOTOMETRY, ULTRAVIOLET; TAMARICACEAE; TEMPERATURE; TIME FACTORS;

EID: 84901919182 PISSN: 13861425 EISSN: None Source Type: Journal
DOI: 10.1016/j.saa.2014.04.175 Document Type: Article

Times cited : (77)

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