<b>Prediction of ternary ion-exchange equilibrium using artificial neural networks and Law of Mass Action</b> - doi: 10.4025/actascitechnol.v34i1.9656
The Law of Mass Action generally models the equilibrium data from ion exchange processes. This methodology is rigorous in terms of thermodynamics and takes into consideration the non-idealities in the solid and aqueous phases. However, the artificial neural networks may also be employed in the phase...
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| Autori principali: | , , , , , |
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| Natura: | Artigo |
| Lingua: | Português |
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Universidade Estadual de Maringá
2011-07-01
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| Serie: | Acta Scientiarum: Technology |
| Soggetti: | |
| Accesso online: | https://periodicos.uem.br/actascitechnol/index.php/ActaSciTechnol/article/view/9656 |
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