@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},
	}