<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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Hlavní autoři:	Rafael Luan Sehn Canevesi, Elizeu Avelino Zanella Junior, Rodrigo Augusto Barella, Tiago Dias Martins, Marcos Flávio Pinto Moreira, Edson Antonio da Silva
Médium:	Artigo
Jazyk:	Português
Vydáno:	Universidade Estadual de Maringá 2011-07-01
Edice:	Acta Scientiarum: Technology
Témata:	artificial neural network mass action law ion-exchange
On-line přístup:	https://periodicos.uem.br/actascitechnol/index.php/ActaSciTechnol/article/view/9656
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