DOI 10.17586/0021-3454-2015-58-2-123-127
UDC 621.397
A SYSTEM OF METALLURGICAL PRODUCTION QUALITY PREDICTION
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
