Integration of neural models in the process of technological preparation of the production of castings
https://doi.org/10.21122/1683-6065-2018-4-45-49
Abstract
The methodical application of neural network modeling in preparation and optimization of casting technology is described. A new technique for classifying castings based on geometric relationships of the geometry of parts and information on the distribution of wall thickness in castings.
About the Authors
I. B. Odarchenko
Сухого Pavel Sukhoi State Technical University of Gomel
Belarus
Gomel, Belarus, 48, Oktober ave.
Belarus
Gomel, Belarus, 48, Oktober ave.
V. A. Zharanov
Сухого Pavel Sukhoi State Technical University of Gomel
Belarus
Gomel, Belarus, 48, Oktober ave.
Belarus
Gomel, Belarus, 48, Oktober ave.
I. N. Prusenko
Сухого Pavel Sukhoi State Technical University of Gomel
Belarus
Gomel, Belarus, 48, Oktober ave.
Belarus
Gomel, Belarus, 48, Oktober ave.
References
1. Gorban A. N. Reshenie zadach neironnymi setiami [The solution of problems of neural networks]. Neuroinformatics. Novosibirsk, Nauka, Siberian publishing firm of RAS, 1998.
2. Ezhov A. A., Shumsky S. A. Neirokomp`iuting i ego primenenie v ekonomike i biznese [Neurocomputing and its application in Economics and business]. Moscow, MEPhI Publ., 1998.
3. Osovski S. Neironnye seti dlia obrabotki informatcii [Neural networks for information processing]. Moscow, Finansy i statistika Publ., 2002.
Review
For citations:
Odarchenko I.B., Zharanov V.A., Prusenko I.N. Integration of neural models in the process of technological preparation of the production of castings. Litiyo i Metallurgiya (FOUNDRY PRODUCTION AND METALLURGY). 2018;(4):45-49. (In Russ.) https://doi.org/10.21122/1683-6065-2018-4-45-49
Views:
508
Email this article 