USE OF ARTIFICIAL INTELLIGENCE TOOLS FOR CONTROL OF HEATING FURNACE

1 ŠPIČKA Ivo
Co-authors:
2 ZIMNÝ Ondřej 3 HEGER Milan 4 TYKVA Tomáš 5 ŠPIČKOVÁ Dagmar
Institutions:
1 VŠB – Technical University of Ostrava, Czech Republic, EU & University of Business and Law, Ostrava, Czech Republic, EU, ivo.spicka@vsb.cz
2 VSB - Technical University of Ostrava, Faculty of Metallurgy and Materials Engineering, Czech Republic, EU, 17. listopadu 15, 708 33 Ostrava-Poruba, Czech Republic, EU, ondrej.zimny@vsb.cz
3 VŠB – Technical University of Ostrava, Faculty of Metallurgy and Materials Engineering, 17. listopadu 15, 708 33 Ostrava-Poruba, Czech Republic, EU, milan.heger@vsb.cz
4 VŠB – Technical University of Ostrava, Czech Republic, EU & University of Business and Law, Ostrava, Czech Republic, EU, tomas.tykva.st@vsb.cz
5 VŠB – Technical University of Ostrava, Faculty of Metallurgy and Materials Engineering, 17. listopadu 15, 708 33 Ostrava-Poruba, Czech Republic, EU dagmar.spickova@vsb.cz
Conference:
26th International Conference on Metallurgy and Materials, Hotel Voronez I, Brno, Czech Republic, EU, May 24th - 26th 2017
Proceedings:
Proceedings 26th International Conference on Metallurgy and Materials
Pages:
2022-2028
ISBN:
978-80-87294-79-6
ISSN:
2694-9296
Published:
9th January 2018
Proceedings of the conference were published in Web of Science and Scopus.
Metrics:
21 views / 5 downloads
Abstract

This article is supposed to take into account the usage of business intelligence tools for metallurgical production control systems. Artificial intelligence tools, not only the popular method of data mining, are currently necessary for the control systems, and they are supposed to be used also for any heavy industry, including metallurgy. It is expected that the ratio of usage of fuzzy sets, expert systems and other available means of artificial intelligence, which include also artificial neural networks, will be significantly increased also for metallurgical processes wherever it is feasible and economically acceptable. This article is focused to Neural Networks and their usage for Control of Heating Furnace.

Keywords: Artificial Neural Networks, Business Intelligence, Control of Heating Furnace, Data Mining.
Scroll to Top