Please use this identifier to cite or link to this item: https://open.uns.ac.rs/handle/123456789/15309
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dc.contributor.authorBajovic V.en
dc.contributor.authorBojkovic G.en
dc.contributor.authorKovacevic V.en
dc.date.accessioned2020-03-03T14:59:24Z-
dc.date.available2020-03-03T14:59:24Z-
dc.date.issued1997-01-01en
dc.identifier.urihttps://open.uns.ac.rs/handle/123456789/15309-
dc.description.abstractA knowledge-based system is proposed and described for faulty components detection and identification, in production testing of analog electronic boards. Its main parts are: the guided measuring probe and diagnostic expert system. Results are reported of using inductive machine learning technique for diagnostic rules acquisition.en
dc.relation.ispartofIEEE International Symposium on Electronics & the Environmenten
dc.titleKnowledge based system for faulty components detection in production testing of electronic deviceen
dc.typeConference Paperen
dc.identifier.scopus2-s2.0-0030698533en
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/0030698533en
dc.relation.lastpage260en
dc.relation.firstpage257en
item.grantfulltextnone-
item.fulltextNo Fulltext-
Appears in Collections:Naučne i umetničke publikacije
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