Active thermal inspection of composite materials with the use of neural networks; Russian Journal of Nondestructive Testing; Vol. 47, iss. 10

Active thermal inspection of composite materials with the use of neural networks; Russian Journal of Nondestructive Testing; Vol. 47, iss. 10

Bibliographische Detailangaben
Parent link:	Russian Journal of Nondestructive Testing Vol. 47, iss. 10.— 2011.— [P. 655-662]
1. Verfasser:	Vavilov V. P. Vladimir Platonovich
Körperschaft:	Национальный исследовательский Томский политехнический университет (ТПУ) Институт неразрушающего контроля (ИНК) Лаборатория №34 (Тепловых методов контроля)
Weitere Verfasser:	Nesteruk D. A. Denis Alekseevich
Zusammenfassung:	Title screen The results of the processing of experimental data on the inspection of a carbon-fiber com-posite with the use of two neural networks that provide both the qualitative detection of latent flawsand the elements of flaw metering are considered Режим доступа: по договору с организацией-держателем ресурса
Sprache:	Englisch
Veröffentlicht:	2011
Schlagworte:	электронный ресурс труды учёных ТПУ тепловой контроль композитные материалы нейронные сети томография thermal inspection composite materials
Online-Zugang:	http://link.springer.com/article/10.1134%2FS1061830911100160
Format:	Elektronisch Buchkapitel
KOHA link:	https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=636944

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