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dc.contributor.authorGonzález Arrieta, María Angélica 
dc.contributor.authorAlonso Romero, Luis
dc.contributor.authorSánchez Lázaro, Ángel Luis 
dc.contributor.authorAmo, José María del
dc.date.accessioned2024-04-22T08:09:14Z
dc.date.available2024-04-22T08:09:14Z
dc.date.issued2001
dc.identifier.citationArrieta, Romero, Sánchez, & Del Amo. (2001). Neural network approach to gun and munition recognition from shot sound. Latin American Applied Research, 31(2), 61-64.es_ES
dc.identifier.issn0327-0793
dc.identifier.urihttp://hdl.handle.net/10366/157445
dc.description.abstract[EN]In this work a system for the automatic recognition of the gun and ammunition used in a shot is presented. The system is based on statistical functions and neural networks and it is being developed under a graphical user interface.es_ES
dc.language.isoenges_ES
dc.publisherBahia Blanca. República Argentinaes_ES
dc.rightsCC0 1.0 Universal*
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/*
dc.subjectRecognitiones_ES
dc.subjectGunes_ES
dc.subjectAmmunitiones_ES
dc.subjectShotes_ES
dc.titleNeural Network Approach to gun and munition recognition from shot sound.es_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.journal.titleLatin American Applied Researches_ES
dc.volume.number31es_ES
dc.issue.number2es_ES
dc.page.initial61es_ES
dc.page.final64es_ES
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones_ES


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