ISSN 0021-3454 (print version)
ISSN 2500-0381 (online version)
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9
Issue
vol 63 / September, 2020
Article

DOI 10.17586/0021-3454-2015-58-2-123-127

UDC 621.397

A SYSTEM OF METALLURGICAL PRODUCTION QUALITY PREDICTION

E. V. Ershov
Cherepovets State University, Department of Computer Software; Associate Professor


L. N. Vinogradova
Cherepovets State University, Department of Computer Software; Senior Lecturer


O. S. Petruhina
Southwest State University ; Master Sci.


D. V. Bogachev
Cherepovets State University ; Post-Graduate Student


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Abstract. A system for prediction of agglomerate quality using a retrospective database and data processing in artificial neural network is developed. A method of fractal compression of agglomerated cake images is described. Results of the system factory testing are presented.
Keywords: forecasting, control, information processing, agglomerated cake, ggloburden, quality, image, fractal image compression, neural network