Modeling of the oxidizing roasting process of zinc sulphide concentrates using the artificial neural networks

Łukasz Sztangret , Łukasz Rauch, Jan Kusiak, Piotr Jarosz, Stanisław Małecki

AGH University of Science and Technology, al. Mickiewicza 30, 30-059 Kraków, Poland.

DOI:

https://doi.org/10.7494/cmms.2011.1.0322

Abstract:

The goal of the research is an attempt of development of automatic control system of the oxidizing roasting process of zinc sulphide concentrates. The reliable modeling of the analyzed process is the preliminary step in solving of design of the control systems. A solution based on the Artificial Neural Networks (ANN) is presented. Two different ANN models of the analyzed process were created. Several different variants of ANN topologies were validated. Then, the possibilities of automatic control of the process based on elaborated ANN models using different input parameters were verified and the quality of obtained results was assessed. The details of modeling methods and the best obtained results are presented.

Cite as:

Sztangret, Ł., Rauch, Ł., Kusiak, J., Jarosz, P., & Małecki, S. (2011). Modeling of the oxidizing roasting process of zinc sulphide concentrates using the artificial neural networks. Computer Methods in Materials Science, 11(1), 122 – 127. https://doi.org/10.7494/cmms.2011.1.0322

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