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

Title
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
Authors
Keywords
Brilliant green, Zinc sulfide nanoparticle, Response surface methodology, Desirability function, Random forest, Radial basis function neural networks
Journal
JOURNAL OF COLLOID AND INTERFACE SCIENCE
Volume 505, Issue -, Pages 278-292
Publisher
Elsevier BV
Online
2017-05-30
DOI
10.1016/j.jcis.2017.05.098

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