Prediction of ternary ion-exchange equilibrium using artificial neural networks and Law of Mass Action

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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Bibliographic Details
Published in:Acta Scientiarum. Technology
Main Authors: Rafael Luan Sehn Canevesi, Elizeu Avelino Zanella Junior, Rodrigo Augusto Barella, Tiago Dias Martins, Marcos Flávio Pinto Moreira, Edson Antonio da Silva
Format: Artigo
Language:Inglês
Published: Universidade Estadual de Maringá 2012
Subjects:
Ingeniería
ion
exchange
mass action law
Artificial neural network
Online Access:https://www.redalyc.org/articulo.oa?id=303226534009
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