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Pronósticos del precio del ganado de primera calidad en Subastar S.A. - Montería: una comparativa entre modelos de series de tiempo clásicos, redes neuronales artificiales y modelos híbridos

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dc.contributor.advisorTreco Hernández, Manuel
dc.contributor.authorMiranda Urango, Yehison Elías
dc.contributor.authorPérez Cuadrado, Isaac Manuel
dc.contributor.educationalvalidatorTreco Hernandez, Manuel
dc.contributor.juryCaicedo Castro, Isaac Bernardo
dc.contributor.juryBru Cordero, Osnamir Elias
dc.date.accessioned2024-12-11T15:11:27Z
dc.date.available2024-12-11T15:11:27Z
dc.date.issued2024-12-09
dc.description.abstractEste estudio analizó y comparó modelos de series de tiempo clásicos, redes neuronales artificiales y métodos híbridos para pronosticar el precio del ganado de primera calidad en Subastar S.A., Montería. Se destacó la importancia económica del sector ganadero en Córdoba y la evolución de la comercialización a través de subastas y plataformas virtuales. Además, se exploró el impacto de la inteligencia artificial en la predicción de precios, con énfasis en la metodología de Box-Jenkins y las redes neuronales. Se encontró que los modelos de redes neuronales híbridos CNN-LSTM y el modelo Transformer fueron los que arrojaron mejores resultados. El objetivo fue identificar el modelo más adecuado para mejorar la planificación económica y reducir riesgos financieros.spa
dc.description.abstractThis study analyzed and compared classical time series models, artificial neural networks, and hybrid methods to forecast the price of prime cattle at Subastar S.A., Montería. The economic importance of the livestock sector in Córdoba and the evolution of commercialization through auctions and virtual platforms was highlighted. Additionally, the impact of artificial intelligence on price prediction was explored, with an emphasis on the Box-Jenkins methodology and neural networks. The study found that hybrid CNN-LSTM neural network models and the Transformer model yielded the best results. The objective was to identify the most suitable model to improve economic planning and reduce financial riskseng
dc.description.degreelevelPregrado
dc.description.degreenameEstadístico(a)
dc.description.modalityTrabajos de Investigación y/o Extensión
dc.description.notesTrabajo presentado como requisito parcial para obtener el titulo de Estadísticospa
dc.description.tableofcontents1. Introducción.spa
dc.description.tableofcontents2. Objetivos.spa
dc.description.tableofcontents3. Marco Teorico.spa
dc.description.tableofcontents4. Materiales y métodos.spa
dc.description.tableofcontents5. Resultadosspa
dc.description.tableofcontents6. Conclusionesspa
dc.description.tableofcontentsA. Anexos: Software utilizadosspa
dc.format.mimetypeapplication/pdf
dc.identifier.instnameUniversidad de Córdoba
dc.identifier.reponameRepositorio Universidad de Córdoba
dc.identifier.repourlhttps://repositorio.unicordoba.edu.co
dc.identifier.urihttps://repositorio.unicordoba.edu.co/handle/ucordoba/8809
dc.language.isospa
dc.publisherUniversidad de Córdoba
dc.publisher.facultyFacultad de Ciencias Básicas
dc.publisher.placeMontería, Córdoba, Colombia
dc.publisher.programEstadística
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dc.rightsCopyright Universidad de Córdoba, 2024
dc.rights.accessrightsinfo:eu-repo/semantics/openAccess
dc.rights.coarhttp://purl.org/coar/access_right/c_abf2
dc.rights.licenseAtribución-NoComercial-CompartirIgual 4.0 Internacional (CC BY-NC-SA 4.0)
dc.rights.urihttps://creativecommons.org/licenses/by-nc-sa/4.0/
dc.subject.keywordsClassic time series modelseng
dc.subject.keywordsMachine Learningeng
dc.subject.keywordsNeural Networkeng
dc.subject.keywordsHybrid modelseng
dc.subject.proposalModelos de series de tiempo clasicosspa
dc.subject.proposalAprendizaje automaticospa
dc.subject.proposalRedes neuronalesspa
dc.subject.proposalModelos hibridosspa
dc.titlePronósticos del precio del ganado de primera calidad en Subastar S.A. - Montería: una comparativa entre modelos de series de tiempo clásicos, redes neuronales artificiales y modelos híbridosspa
dc.typeTrabajo de grado - Pregrado
dc.type.coarhttp://purl.org/coar/resource_type/c_7a1f
dc.type.coarversionhttp://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.contentText
dc.type.driverinfo:eu-repo/semantics/bachelorThesis
dc.type.versioninfo:eu-repo/semantics/acceptedVersion
dspace.entity.typePublication
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