The development of a neuronetwork component for technical systems of mechanical engineering

Author

Danilin, S.N. ; Makarov, M.V. ; Shchanikov, S.A.

Author_Institution

Depts. of CAD Syst., Murom Inst. of Vladimir State Univ., Murom, Russia

fYear

2014

fDate

16-18 Oct. 2014

Firstpage

1

Lastpage

4

Abstract

This article shows the solution to the problem of designing a neuronetwork component of industrial technical system. This solution lets to provide nominal accuracy of information processing, when technical system is working under conditions of destabilizing factors. Base of designing a neuronetwork component is algorithms of elimination of influence of external and internal noise of artificial neural network developed by authors.

Keywords

mechanical engineering computing; mechanical stability; neural nets; artificial neural network; destabilizing factors; industrial technical system; information processing; mechanical engineering; neuronetwork component; Artificial neural networks; Coordinate measuring machines; Measurement uncertainty; Reliability; Weight measurement; accuracy; artificial neural networks; coordinate measuring machine; digit capacity; fault tolerance; information processing; mechanical engineering; noise; reliability;

fLanguage

English

Publisher

ieee

Conference_Titel

Mechanical Engineering, Automation and Control Systems (MEACS), 2014 International Conference on

Conference_Location

Tomsk

Print_ISBN

978-1-4799-6220-4

Type

conf

DOI

10.1109/MEACS.2014.6986874

Filename

6986874