Copper flash smelting process. modelling and control

Jan Kusiak

doi:10.7494/cmms.2009.3.0260

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Copper flash smelting process. modelling and control

Jan Kusiak

Computer Methods in Materials Science2009doi:10.7494/cmms.2009.3.0260

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Abstract

The paper presents the description of the copper flash smelting process and the idea of its modelling based on Artificial Intelligence techniques: Artificial Neural Networks, Expert Systems and Data Mining. Proposed approach is illustrated by examples of obtained results. They show that models based on Artificial Intelligence tools can be useful in process analysis and in control systems.

Authors

Jan Kusiak#1

Institutions

AGH University of Krakow

Provenance

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Referenced works

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Bio-inspired optimization strategies in control of copper flash smelting process

2009 · 10 citations

Neural network modelling of the gas phase of a copper flash smelting process

2009 · 2 citations

Pre-processing of the industrial data for data mining and modelling – application to the copper flash smelting process

2009 · 2 citations

Expert system application in modelling and controlling the copper flash smelting process

2009 · 0 citations

Association rules as an example of data mining in the analysis of copper flash smelting process – the metallurgist’s point of view

2009 · 0 citations

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