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@article{(International Science Index):http://waset.org/publications/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 Chemical, Molecular, Nuclear, Materials and Metallurgical Engineering},  volume    = {6},
  number    = {8},
  year      = {2012},
  pages     = {733 - 736},
  ee        = {http://waset.org/publications/15173},
  url       = {http://waset.org/Publications?p=68},
  bibsource = {http://waset.org/Publications},
  issn      = {eISSN:1307-6892},
  publisher = {World Academy of Science, Engineering and Technology},
  index     = {International Science Index 68, 2012},
}