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

Atribución-NoComercial-CompartirIgual 4.0 Internacional (CC BY-NC-SA 4.0)Gil Vera, Víctor DanielPuerta Lopera, Isabel CristinaMontoya Suárez, Lina MaríaBetancur Arias, Juan DiegoSepúlveda Castaño, Jorge MauricioMontoya Zulúaga, Paula AndreaGrupo de Investigación en Ingeniería - INGENIAR2026-03-102026-03-1020182321-0893https://repositorio.uniremington.edu.co/handle/123456789/9339https://ajouronline.com/index.php/AJAS/article/view/4950?articlesBySimilarityPage=8The 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.application/pdfengDerechos Reservados - Corporación Universitaria Remington, 2026Adolescent LawbreakersCrime, DrugsNeural NetworksPrevention PoliciesArtificial Neural Networks Applied to the Monitoring of Cost and Durations in Juvenile ReformatoriesArtículo de revistainfo:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Delincuencia juvenilReformatoriosDrogas