|

Neural simulation of manufacturing processes in engineering industry

Authors: Kuznetsova T.I., Bulaev A.V. Published: 07.11.2018
Published in issue: #11(73)/2018  
DOI: 10.18698/2306-8477-2018-11-566  
Category: Economic Sciences  
Keywords: neural network technologies, artificial neural network, neural network learning process

The paper explores the concepts and structures of neural networks, reveals the features of their application in mechanical engineering, suggests the use of artificial neural networks when constructing control systems by production processes, planning the operational cycle, building diagnosis and product quality control systems


References
[1] Vakurin A.V., Kovnir V.I. Rossiyskaya ekonomika za 30 let — put ot preobrazovaniy k razocharovaniyam [Russian economy after 30 years — a path from change to disappointment]. Moscow, INFRA-M Publ., 2017, 214 p.
[2] Kuznetsova T.I., Ganina G.E., Klementieva S.V. Gumanitarnyy vestnik —Humanities Bulletin of BMSTU, 2017, no. 1. DOI: 10.18698/2306-8477-2017-01-408
[3] McCalloch W.S., Pitts W. A logical calculus of the ideas immanent in nervous activity. Bull. Math. Biophys, 1943, vol. 5, pp. 115–133 [In Russ.: McCalloch W.S., Pitts W. Logicheskoe ischislenie idey, otnosyashchikhsya k nervnoy aktivnosti. Avtomaty. Moscow, Izd-vo inostrannoy literatury Publ., 1956, pp. 363–384].
[4] Golubev U.F. Neirosetevye metody v mekhatronike [Neural net methods in mechatronics]. Moscow, MSU Publ., 2007, p. 157.
[5] Kuznetsova T.I., Lobacheva E.N., Tselsov N.Yu. Gumanitarnyy vestnik —Humanities Bulletin of BMSTU, 2016, no. 2. DOI: 10.18698/2306-8477-2016-2-340
[6] Kuznetsova T.I. RISK: Resursy. Informatsiya, Snabzhenie. Konkurentsiya —RISK: Resources, Information, Supply, Competition, 2015, no. 2, pp. 177–180.
[7] Kuznetsova T.I, Belousova O.N. Gumanitarnyy vestnik — Humanities Bulletin of BMSTU, 2013, no. 8. DOI: 10.18698/2306-8477-2013-8-100