Application of least squares support vector regression and linear multiple regression for modeling removal of methyl orange onto tin oxide nanoparticles loaded on activated carbon and activated carbon prepared from Pistacia atlantica wood

Title
Application of least squares support vector regression and linear multiple regression for modeling removal of methyl orange onto tin oxide nanoparticles loaded on activated carbon and activated carbon prepared from Pistacia atlantica wood
Authors
Keywords
Tin oxide, Nanoparticles, Methyl orange, Least square support vector, Isotherm
Journal
JOURNAL OF COLLOID AND INTERFACE SCIENCE
Volume 461, Issue -, Pages 425-434
Publisher
Elsevier BV
Online
2015-09-11
DOI
10.1016/j.jcis.2015.09.024

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