Application of artificial intelligence principles in mechanical engineering

Autor:	Ivan Zajačko, Tomáš Gál, Vasyl Mateichyk, Dariusz Więcek, Zuzana Ságová
Rok vydání:	2018
Předmět:	0209 industrial biotechnology Computer science business.industry Machine vision Deep learning Automotive industry ComputerApplications_COMPUTERSINOTHERSYSTEMS 02 engineering and technology Vision system 020901 industrial engineering & automation Artificial Intelligence lcsh:TA1-2040 Machine learning Pattern recognition (psychology) 0202 electrical engineering electronic engineering information engineering Factory (object-oriented programming) 020201 artificial intelligence & image processing Meaning (existential) Artificial intelligence Deep convolutional neural network lcsh:Engineering (General). Civil engineering (General) business
Zdroj:	MATEC Web of Conferences, Vol 244, p 01027 (2018)
ISSN:	2261-236X
DOI:	10.1051/matecconf/201824401027
Popis:	The article deals with methods of Artificial Intelligence and their utilisation in technical diagnostics. Special meaning will be given on methods such as Deep learning. The deep learning method seems to be a very good candidate for defect detection and pattern recognition. The method was applied for technical diagnostic in automotive factory and the problem will be described in the paper.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca7e49cda175b9eb6b7c7b8fde565379 https://doi.org/10.1051/matecconf/201824401027 Zobrazit plný text záznamu