Artificial neural networks for optimization of gold-bearing slime smelting

Authors:
David Liu;Yudie Yuan;Shufang Liao
Affiliations:
Department of Mathematical Sciences, Xi'an Jiaotong-Liverpool University, 111 Ren Ai Road, Dushu Lake Higher Education Town, Suzhou Industrial Park, Suzhou, Jiangsu, PR China and School of Science ...;Novelis Global Technology Centre, 945 Princess St., P.O. Box 8400, Kingston, Ontario, Canada K7L 5L9;Department of Mathematical Sciences, Xi'an Jiaotong-Liverpool University, 111 Ren Ai Road, Dushu Lake Higher Education Town, Suzhou Industrial Park, Suzhou, Jiangsu, PR China
Venue:
Expert Systems with Applications: An International Journal
Year:
2009

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Abstract

Pyrometallurgy is often used in the industrial process for treating gold-bearing slime. Slag compositions have remarkable influences on the recovery of gold and the gold content in slag. A method for determining optimum flux compounding with neural networks is studied in this paper, and the neural network model for estimating the gold contents with different slag compositions is presented. On the basis of the neural network model, an algorithm for searching the optimum flux compounding in the gold-slime smelting process is proposed, and the optimum flux compositions are obtained accordingly.