Jha, Sujit Kumar and Madras, Giridhar (2005) Neural Network Modeling of Adsorption Equilibria of Mixtures in Supercritical Fluids. In: Industrial and Engineering Chemistry Research, 44 (17). pp. 7038-7041.
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A neural network model was used to predict the ternary adsorption equilibria of 2,6- and 2,7-dimethylnaphthalene isomers dissolved in supercritical carbon dioxide on NaY-type zeolite. The neural network was trained using binary (pure solute dissolved in supercritical carbon dioxide onto NaY-type zeolite) and ternary adsorption equilibrium data. Despite a limited number of data points available for the training of the network, the model was capable of predicting the ternary adsorption equilibria using the binary adsorption equilibrium data very precisely.
| Item Type: | Journal Article |
|---|---|
| Additional Information: | The copyright for this article belongs to American Chemical Society. |
| Department/Centre: | Division of Mechanical Sciences > Chemical Engineering |
| Date Deposited: | 21 Sep 2005 |
| Last Modified: | 27 Aug 2008 11:28 |
| URI: | http://eprints.iisc.ernet.in/id/eprint/3686 |
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