Application of random forest, radial basis function neural networks and central composite design for modeling and/or optimization of the ultrasonic assisted adsorption of brilliant green on ZnS-NP-AC

Journal of Colloid and Interface Science

Volumn 505, Issue , 2017, Pages 278-292

  Ahmadi Azqhandi, M H ^a   Ghaedi, M ^a   Yousefi, F ^a   Jamshidi, M ^a  

^a YASOUJ UNIVERSITY   (Iran)

Author keywords

Brilliant green; Desirability function; Radial basis function neural networks; Random forest; Response surface methodology; Zinc sulfide nanoparticle

Indexed keywords

ACTIVATED CARBON; CARBON; DECISION TREES; FIELD EMISSION MICROSCOPES; FOURIER TRANSFORMS; FUNCTIONS; GENETIC ALGORITHMS; INFRARED SPECTROSCOPY; MEAN SQUARE ERROR; NANOPARTICLES; REFORESTATION; SCANNING ELECTRON MICROSCOPY; SURFACE PROPERTIES; X RAY DIFFRACTION; X RAY SPECTROSCOPY; ZINC SULFIDE;

BRILLIANT GREEN; DESIRABILITY FUNCTION; RADIAL BASIS FUNCTION NEURAL NETWORKS; RANDOM FORESTS; RESPONSE SURFACE METHODOLOGY; ZINC SULFIDE NANOPARTICLES;

RADIAL BASIS FUNCTION NETWORKS;

ACTIVATED CARBON; BRILLIANT GREEN; METAL NANOPARTICLE; ZINC SULFIDE;

ABSOLUTE AVERAGE DEVIATION; ADSORPTION; AQUEOUS SOLUTION; ARTICLE; ARTIFICIAL NEURAL NETWORK; CENTRAL COMPOSITE DESIGN; COEFFICIENT OF DETERMINATION; CONCENTRATION (PARAMETERS); CONTROLLED STUDY; ENERGY DISPERSIVE X RAY SPECTROSCOPY; FIELD EMISSION SCANNING ELECTRON MICROSCOPY; GENETIC ALGORITHM; INFRARED SPECTROSCOPY; ISOTHERM; MEAN ABSOLUTE ERROR; PRIORITY JOURNAL; RADIAL BASIS FUNCTION NEURAL NETWORK; RANDOM FOREST; RESPONSE SURFACE METHOD; ROOT MEAN SQUARE ERROR; STATISTICAL MODEL; STATISTICAL PARAMETERS; ULTRASOUND; X RAY DIFFRACTION;

EID: 85024867995     PISSN: 00219797     EISSN: 10957103     Source Type: Journal    
DOI: 10.1016/j.jcis.2017.05.098     Document Type: Article

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