OPTIMIZATION OF THE HYDRODYNAMICS OF GATING-FEEDING SYSTEMS IN ACCORDANCE WITH THE USE OF NEURO NETWORKS METHODS OF CLASSIFICATION OF TECHNOLOGICAL PARAMETERS
https://doi.org/10.21122/1683-6065-2017-4-84-88
Abstract
The method of optimizing the design of gating-feeding systems on the basis of the automated classification algorithm of technological complexity of the casting is presented.
About the Authors
I. B. Odarchenko
Pavel Sukhoi State Technical University of Gomel
Belarus
Gomel, Belarus, 48, Oktyabrya ave.
Belarus
Gomel, Belarus, 48, Oktyabrya ave.
V. A. Zharanau
Pavel Sukhoi State Technical University of Gomel
Belarus
Gomel, Belarus, 48, Oktyabrya ave.
Belarus
Gomel, Belarus, 48, Oktyabrya ave.
I. N. Prusenko
Pavel Sukhoi State Technical University of Gomel
Belarus
Gomel, Belarus, 48, Oktyabrya ave.
Belarus
Gomel, Belarus, 48, Oktyabrya ave.
References
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2. Ezhov A. A., Shumsky S. A. Neirokompiuting i ego primenenie v ekonomike i biznese [Neurocomputing and its application in Economics and business]. Moscow, MEPhI Publ., 1998.
3. Osovski S. Neironnye seti dya obrabotki informatcii [Neural networks for information processing]. Moscow, Finansy i Statistika Publ., 2002.
Review
For citations:
Odarchenko I.B., Zharanau V.A., Prusenko I.N. OPTIMIZATION OF THE HYDRODYNAMICS OF GATING-FEEDING SYSTEMS IN ACCORDANCE WITH THE USE OF NEURO NETWORKS METHODS OF CLASSIFICATION OF TECHNOLOGICAL PARAMETERS. Litiyo i Metallurgiya (FOUNDRY PRODUCTION AND METALLURGY). 2017;(4):84-88. (In Russ.) https://doi.org/10.21122/1683-6065-2017-4-84-88
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