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Volumn 6, Issue 46, 2016, Pages 40502-40516
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Statistical experimental design, least squares-support vector machine (LS-SVM) and artificial neural network (ANN) methods for modeling the facilitated adsorption of methylene blue dye
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Author keywords
[No Author keywords available]
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Indexed keywords
ACTIVATED CARBON;
ADSORPTION;
AROMATIC COMPOUNDS;
CARBON;
DYES;
ENAMELS;
ENERGY DISPERSIVE SPECTROSCOPY;
FIELD EMISSION MICROSCOPES;
FOURIER TRANSFORM INFRARED SPECTROSCOPY;
FOURIER TRANSFORMS;
GENETIC ALGORITHMS;
INFRARED SPECTROSCOPY;
LEAST SQUARES APPROXIMATIONS;
LINEAR REGRESSION;
MEAN SQUARE ERROR;
NEURAL NETWORKS;
SCANNING ELECTRON MICROSCOPY;
SOLUTIONS;
X RAY DIFFRACTION;
X RAY SPECTROSCOPY;
ZINC SULFIDE;
COEFFICIENT OF DETERMINATION;
ENERGY DISPERSIVE X RAY SPECTROSCOPY;
FIELD EMISSION SCANNING ELECTRON MICROSCOPY;
LEAST SQUARES SUPPORT VECTOR MACHINES;
MULTIPLE LINEAR REGRESSION MODELS;
PSEUDO-SECOND-ORDER KINETIC MODELS;
RESPONSE SURFACE METHODOLOGY;
STATISTICAL EXPERIMENTAL DESIGN;
SUPPORT VECTOR MACHINES;
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EID: 84964824564
PISSN: None
EISSN: 20462069
Source Type: Journal
DOI: 10.1039/c6ra01874b Document Type: Article |
Times cited : (186)
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References (60)
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