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    STUDIA CHEMIA - Issue no. 1 / 2006  
         
  Article:   MODELLING URANIUM(VI) EXTRACTION USING ARTIFICIAL NEURAL NETWORKS.

Authors:  MIRCEA-VASILE CRISTEA, MARIA CURTUI, CASTELIA CRISTEA.
 
       
         
  Abstract:  The use of ANN simulators for the mathematical modelling of the uranium(VI) extraction from an aqueous solution, using polar and/or nonpolar solvent containing the chelating agent di-(2-ethylhexyl)-ditiophosphoric acid, at different pH values is described. The ANN has been trained with experimental data using either 1-butanol or kerosene solvent. Good prediction results show the incentives of this modelling approach and the perspectives of its using for simulating processes with the aim of optimising both laboratory and industrial units.  
         
     
         
         
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