Title :
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
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;
Conference_Titel :
Mechanical Engineering, Automation and Control Systems (MEACS), 2014 International Conference on
Conference_Location :
Tomsk
Print_ISBN :
978-1-4799-6220-4
DOI :
10.1109/MEACS.2014.6986874
