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Artificial Neural Networks Applied to the Monitoring of Cost and Durations in Juvenile Reformatories

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dc.contributor.authorGil Vera, Víctor Daniel
dc.contributor.authorPuerta Lopera, Isabel Cristina
dc.contributor.authorMontoya Suárez, Lina María
dc.contributor.authorBetancur Arias, Juan Diego
dc.contributor.authorSepúlveda Castaño, Jorge Mauricio
dc.contributor.authorMontoya Zulúaga, Paula Andrea
dc.contributor.otherGrupo de Investigación en Ingeniería - INGENIAR
dc.date.accessioned2026-03-10T19:24:25Z
dc.date.available2026-03-10T19:24:25Z
dc.date.issued2018
dc.description.abstractThe artificial neural networks (ANN) are a branch of artificial intelligence and can be defined as structural models of nonlinear regression that allow to emulate the functioning of the human brain. This paper presents an ANN (multilayer perceptron) trained with the retro propagation technique, in order to identify the costs and stays durations of adolescent lawbreakers of the Specialized Attention Center (SAC) "El Redentor" in Bogotá¡, Colombia. According to the results, the types of diseases, complications or psychological disorders that present adolescents at the time of your income is the main factor that allows you to determine the time and rehabilitation costs.eng
dc.format.mimetypeapplication/pdfspa
dc.identifier.issn2321-0893
dc.identifier.urihttps://repositorio.uniremington.edu.co/handle/123456789/9339
dc.identifier.urihttps://ajouronline.com/index.php/AJAS/article/view/4950?articlesBySimilarityPage=8
dc.language.isoeng
dc.publisherAsian Journal of Applied Scienceseng
dc.publisher.placeMedellín (Antioquia, Colombia)spa
dc.rightsDerechos Reservados - Corporación Universitaria Remington, 2026spa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.coarhttp://purl.org/coar/access_right/c_abf2spa
dc.rights.licenseAtribución-NoComercial-CompartirIgual 4.0 Internacional (CC BY-NC-SA 4.0)spa
dc.rights.urihttps://creativecommons.org/licenses/by-nc-sa/4.0/spa
dc.subjectAdolescent Lawbreakerseng
dc.subjectCrime, Drugseng
dc.subjectNeural Networkseng
dc.subjectPrevention Policieseng
dc.subject.lembDelincuencia juvenilspa
dc.subject.lembReformatoriosspa
dc.subject.lembDrogasspa
dc.titleArtificial Neural Networks Applied to the Monitoring of Cost and Durations in Juvenile Reformatorieseng
dc.typeArtículo de revistaspa
dc.type.coarhttp://purl.org/coar/resource_type/c_6501spa
dc.type.coarversionhttp://purl.org/coar/version/c_970fb48d4fbd8a85spa
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dc.type.driverinfo:eu-repo/semantics/articlespa
dc.type.localArtículo de revistaspa
dc.type.redcolhttp://purl.org/redcol/resource_type/ARTspa
dc.type.versioninfo:eu-repo/semantics/publishedVersionspa
dspace.entity.typePublicationspa
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