@article{(Open Science Index):https://publications.waset.org/pdf/15173, title = {Modeling of Co-Cu Elution From Clinoptilolite using Neural Network}, author = {John Kabuba and Antoine Mulaba-Bafubiandi}, country = {}, institution = {}, abstract = {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. The favorable eluant concentration was found to be 2 M HCl and 2 M H2SO4, respectively. The multi-component equilibrium relationship in the process can be very complex, and perhaps ill-defined. In such circumstances, it is preferable to use a non-parametric technique such as Neural Network to represent such an equilibrium relationship. }, journal = {International Journal of Materials and Metallurgical Engineering}, volume = {6}, number = {8}, year = {2012}, pages = {739 - 742}, ee = {https://publications.waset.org/pdf/15173}, url = {https://publications.waset.org/vol/68}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 68, 2012}, }