A hybrid model of support vector regression with genetic algorithm for forecasting adsorption of malachite green onto multi-walled carbon nanotubes: central composite design optimization
2016 ◽
Vol 18
(19)
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pp. 13310-13321
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Keyword(s):
The aim of this work is the study of the predictive ability of a hybrid model of support vector regression with genetic algorithm optimization (GA–SVR) for the adsorption of malachite green (MG) onto multi-walled carbon nanotubes (MWCNTs).
2016 ◽
Vol 34
◽
pp. 130-138
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2019 ◽
Vol Volume 14
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pp. 3861-3874
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2016 ◽
Vol 216
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pp. 654-665
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2016 ◽
Vol 20
(2)
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pp. 258-271
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2013 ◽
Vol 58
(3-4)
◽
pp. 458-465
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2020 ◽
Vol 06
(S2)
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pp. 23-27
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2015 ◽
Vol 206
◽
pp. 151-158
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2013 ◽
Vol 30
(8)
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pp. 1603-1608
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Keyword(s):