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Modeling and Evaluation of Queuing Systems Use of ArtificialNeural Net work for Estimation of the Dissolved of Rutile Ore | ||
| Diyala Journal For Pure Science | ||
| Article 1, Volume 7, Issue 2, 2011, Pages 13-28 | ||
| Author | ||
| Ahmed Falh | ||
| Abstract | ||
| This paper use artificial neural net work for state the fractional of dissolution rutile ore (TiO2)with different condition ( Reaction temperature and acid concentration ,HCl) at different leachingtime ,tow neural net wok was proposed each one contain 20 samples (in put data) for training thenet work then 5 samples use to test the net work after training at different condition .The results show the net work NO.1 give perfect estimation ,but the network No.2 was failedto estimate the result ,also correlation factor is the most important factor in ANN(Artificial NeuralNet work) to give estimation for matching between experimental and target data. | ||
| Keywords | ||
| Key Word; rutile ore; leaching metallurgy | ||
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