A critics study of neural networks applied to ion-exchange process
- Kabuba, John, Mulaba-Bafubiandi, Antoine, Battle, Kim
- Authors: Kabuba, John , Mulaba-Bafubiandi, Antoine , Battle, Kim
- Date: 2012
- Subjects: Neural networks , Ion-exchange processes , Copper ions
- Type: Article
- Identifier: uj:6027 , ISBN 978-7-5647-1031-6 , http://hdl.handle.net/10210/10048
- Description: This paper presents a critical study about the application of Neural Networks to ion-exchange process. Ion exchange is a complex non-linear process involving many factors influencing the ions uptake mechanisms from the pregnant solution. The following step includes the elution. Published data presents empirical isotherm equations with definite shortcomings resulting in unreliable predictions. Although Neural Network simulation technique encounters a number of disadvantages including its “black box”, and a limited ability to explicitly identify possible causal relationships, it has the advantage to implicitly handle complex nonlinear relationships between dependent and independent variables. In the present paper, the Neural Network model based on the back-propagation algorithm Levenberg-Marquardt was developed using a three layer approach with a tangent sigmoid transfer function (tansig) at hidden layer with 11 neurons and linear transfer function (purelin) at out layer. The above mentioned approach has been used to test the effectiveness in simulating ion exchange processes. The modeling results showed that there is an excellent agreement between the experimental data and the predicted values of copper ions removed from aqueous solutions.
- Full Text:
- Authors: Kabuba, John , Mulaba-Bafubiandi, Antoine , Battle, Kim
- Date: 2012
- Subjects: Neural networks , Ion-exchange processes , Copper ions
- Type: Article
- Identifier: uj:6027 , ISBN 978-7-5647-1031-6 , http://hdl.handle.net/10210/10048
- Description: This paper presents a critical study about the application of Neural Networks to ion-exchange process. Ion exchange is a complex non-linear process involving many factors influencing the ions uptake mechanisms from the pregnant solution. The following step includes the elution. Published data presents empirical isotherm equations with definite shortcomings resulting in unreliable predictions. Although Neural Network simulation technique encounters a number of disadvantages including its “black box”, and a limited ability to explicitly identify possible causal relationships, it has the advantage to implicitly handle complex nonlinear relationships between dependent and independent variables. In the present paper, the Neural Network model based on the back-propagation algorithm Levenberg-Marquardt was developed using a three layer approach with a tangent sigmoid transfer function (tansig) at hidden layer with 11 neurons and linear transfer function (purelin) at out layer. The above mentioned approach has been used to test the effectiveness in simulating ion exchange processes. The modeling results showed that there is an excellent agreement between the experimental data and the predicted values of copper ions removed from aqueous solutions.
- Full Text:
Modeling of Co-Cu elution from clinoptilolite using neural network
- Kabuba, John, Mulaba-Bafubiandi, Antoine
- Authors: Kabuba, John , Mulaba-Bafubiandi, Antoine
- Date: 2012
- Subjects: Clinoptilolite , Elution , Neural networks
- Type: Article
- Identifier: uj:6279 , http://hdl.handle.net/10210/9882
- Description: The elution process for the removal of Co and Cu from clinoptilolite as an ion-exchanger was investigated using three parameters: bed volume, pH and contact time. The present paper study has shown quantitatively that acid concentration has a significant effect on the elution process...
- Full Text:
- Authors: Kabuba, John , Mulaba-Bafubiandi, Antoine
- Date: 2012
- Subjects: Clinoptilolite , Elution , Neural networks
- Type: Article
- Identifier: uj:6279 , http://hdl.handle.net/10210/9882
- Description: The elution process for the removal of Co and Cu from clinoptilolite as an ion-exchanger was investigated using three parameters: bed volume, pH and contact time. The present paper study has shown quantitatively that acid concentration has a significant effect on the elution process...
- Full Text:
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