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A hybrid model of support vector regression with genetic algorithm for forecasting adsorption of malachite green onto multi-walled carbon nanotubes: central composite design optimi...
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| Zeitschriftentitel: | Physical Chemistry Chemical Physics |
|---|---|
| Personen und Körperschaften: | , , , |
| In: | Physical Chemistry Chemical Physics, 18, 2016, 19, S. 13310-13321 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
Royal Society of Chemistry (RSC)
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| Schlagwörter: |
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Ghaedi, M. Dashtian, K. Ghaedi, A. M. Dehghanian, N. Ghaedi, M. Dashtian, K. Ghaedi, A. M. Dehghanian, N. |
|---|---|
| author |
Ghaedi, M. Dashtian, K. Ghaedi, A. M. Dehghanian, N. |
| spellingShingle |
Ghaedi, M. Dashtian, K. Ghaedi, A. M. Dehghanian, N. Physical Chemistry Chemical Physics 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 Physical and Theoretical Chemistry General Physics and Astronomy |
| author_sort |
ghaedi, m. |
| spelling |
Ghaedi, M. Dashtian, K. Ghaedi, A. M. Dehghanian, N. 1463-9076 1463-9084 Royal Society of Chemistry (RSC) Physical and Theoretical Chemistry General Physics and Astronomy http://dx.doi.org/10.1039/c6cp01531j <p>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).</p> 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 Physical Chemistry Chemical Physics |
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| title |
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 |
| title_unstemmed |
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 |
| title_full |
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 |
| title_fullStr |
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 |
| title_full_unstemmed |
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 |
| title_short |
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 |
| title_sort |
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 |
| topic |
Physical and Theoretical Chemistry General Physics and Astronomy |
| url |
http://dx.doi.org/10.1039/c6cp01531j |
| publishDate |
2016 |
| physical |
13310-13321 |
| description |
<p>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).</p> |
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| author | Ghaedi, M., Dashtian, K., Ghaedi, A. M., Dehghanian, N. |
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| description | <p>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).</p> |
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| spelling | Ghaedi, M. Dashtian, K. Ghaedi, A. M. Dehghanian, N. 1463-9076 1463-9084 Royal Society of Chemistry (RSC) Physical and Theoretical Chemistry General Physics and Astronomy http://dx.doi.org/10.1039/c6cp01531j <p>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).</p> 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 Physical Chemistry Chemical Physics |
| spellingShingle | Ghaedi, M., Dashtian, K., Ghaedi, A. M., Dehghanian, N., Physical Chemistry Chemical Physics, 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, Physical and Theoretical Chemistry, General Physics and Astronomy |
| title | 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 |
| title_full | 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 |
| title_fullStr | 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 |
| title_full_unstemmed | 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 |
| title_short | 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 |
| title_sort | 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 |
| title_unstemmed | 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 |
| topic | Physical and Theoretical Chemistry, General Physics and Astronomy |
| url | http://dx.doi.org/10.1039/c6cp01531j |