ZUSKÁČ Martin Vysoká škola báňská - Technická univerzita Ostrava

Spoluautoři DAVID Jiří, FRISCHEROVÁ Lucie

In this paper is described proposed method for determining of actual state of the crystallizer when continuous steel casting which is based on data mining methods with usage of artificial neural networks. The importance of proposed method is in creation of graphical illustration of the crystallizers state in any time without usage of technical diagnostics tools.

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