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Volumn 140, Issue , 2015, Pages 465-473
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Artificial neural network modeling of photocatalytic removal of a disperse dye using synthesized of ZnO nanoparticles on montmorillonite
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Author keywords
Artificial neural network; Photocatalytic degradation; ZnO nanoparticles; ZnO MMT nanocomposite
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Indexed keywords
BACKPROPAGATION;
ELECTRON MICROSCOPY;
GAS ADSORPTION;
METAL NANOPARTICLES;
NANOCOMPOSITES;
NANOPARTICLES;
NEURAL NETWORKS;
REUSABILITY;
SCANNING ELECTRON MICROSCOPY;
SYNTHESIS (CHEMICAL);
TRANSMISSION ELECTRON MICROSCOPY;
X RAY DIFFRACTION;
ARTIFICIAL NEURAL NETWORK MODELING;
FEED-FORWARD BACK PROPAGATION;
INITIAL DYE CONCENTRATION;
PHOTO CATALYTIC DEGRADATION;
PHOTO-CATALYTIC REMOVAL;
PHOTOCATALYTIC DECOLORIZATION;
ZNO;
ZNO NANOPARTICLES;
ZINC OXIDE;
AZO COMPOUND;
BENTONITE;
COLORING AGENT;
DISPERSE RED 54;
NANOPARTICLE;
ZINC OXIDE;
ARTIFICIAL NEURAL NETWORK;
CATALYSIS;
CHEMICAL MODEL;
CHEMISTRY;
ISOLATION AND PURIFICATION;
PHOTOLYSIS;
ULTRASTRUCTURE;
AZO COMPOUNDS;
BENTONITE;
CATALYSIS;
COLORING AGENTS;
MODELS, CHEMICAL;
NANOPARTICLES;
NEURAL NETWORKS (COMPUTER);
PHOTOLYSIS;
ZINC OXIDE;
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EID: 84921771599
PISSN: 13861425
EISSN: None
Source Type: Journal
DOI: 10.1016/j.saa.2014.12.100 Document Type: Article |
Times cited : (70)
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References (27)
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