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) ◽  
pp. 13310-13321 ◽  
Author(s):  
M. Ghaedi ◽  
K. Dashtian ◽  
A. M. Ghaedi ◽  
N. Dehghanian

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).

2015 ◽  
Vol 206 ◽  
pp. 151-158 ◽  
Author(s):  
Hamidreza Sadegh ◽  
Ramin Shahryari-ghoshekandi ◽  
Shilpi Agarwal ◽  
Inderjeet Tyagi ◽  
M. Asif ◽  
...  

2013 ◽  
Vol 30 (8) ◽  
pp. 1603-1608 ◽  
Author(s):  
Mohammad Shirmardi ◽  
Amir Hossein Mahvi ◽  
Bayram Hashemzadeh ◽  
Abolfazl Naeimabadi ◽  
Ghasem Hassani ◽  
...  

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