DocumentCode
548281
Title
Identification of signals of electromagnetic rail-flaw detection system using artificial neural networks
Author
Yakymiv, Roman
Author_Institution
Electron. Means of Inf. & Comput. Technol. Dept., L´´viv Polytech. Nat. Univ., L´´viv, Ukraine
fYear
2011
fDate
11-14 May 2011
Firstpage
192
Lastpage
192
Abstract
In this paper the results of the study on the identification of objects of railway canvas by certain signs using neural network technology are considered.
Keywords
flaw detection; neural nets; object detection; railway engineering; signal detection; artificial neural networks; electromagnetic rail flaw detection system; object identification; railway canvas; signal identification; Artificial neural networks; Automation; Electromagnetics; Metals; Object recognition; Rail transportation; Rails; Non-destructive testing; artificial neural networks; automation; rail-flaw detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Perspective Technologies and Methods in MEMS Design (MEMSTECH), 2011 Proceedings of VIIth International Conference on
Conference_Location
Polyana
Print_ISBN
978-1-4577-0639-4
Electronic_ISBN
978-966-2191-18-9
Type
conf
Filename
5960345
Link To Document