A Configuration Approach for Convolutional Neural Networks Used for Defect Detection on Surfaces

dc.contributor.author	García Martínez, Daniel Fernando
dc.contributor.author	García, Iván
dc.contributor.author	Calle Herrero, Francisco Javier de la
dc.contributor.author	Usamentiaga Fernández, Rubén
dc.date.accessioned	2019-11-14T10:21:21Z
dc.date.available	2019-11-14T10:21:21Z
dc.date.issued	2018
dc.identifier.isbn	9781538675007
dc.identifier.uri	http://hdl.handle.net/10651/52893
dc.description	International Conference on Mathematics and Computers in Sciences and Industry (MCSI) (5th. 2018. Corfú)
dc.description.sponsorship	This work has been partially funded by the project TIN2014-56047-P of the Spanish National Plan for Research, Development and Innovation and the contract FUO-186-17 of the Foundation of the University of Oviedo.
dc.format.extent	p. 44-51
dc.language.iso	eng
dc.relation.ispartof	Proceedings - 2018 5th International Conference on Mathematics and Computers in Sciences and Industry, MCSI 2018
dc.rights	© 2019 IEEE
dc.source	Scopus
dc.source.uri	https://www2.scopus.com/inward/record.uri?eid=2-s2.0-85070370543&doi=10.1109%2fMCSI.2018.00019&partnerID=40&md5=405198df60e567d6d085d159474a1568
dc.title	A Configuration Approach for Convolutional Neural Networks Used for Defect Detection on Surfaces
dc.type	conference output	spa
dc.identifier.doi	10.1109/MCSI.2018.00019
dc.relation.projectID	TIN2014-56047-P
dc.relation.projectID	FUO-186-17
dc.relation.publisherversion	http://dx.doi.org/10.1109/MCSI.2018.00019

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