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Redes neuronales artificiales en las ciencias económicas

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  • Viviana María Oquendo Patiño

    ()

Abstract

Este documento proporciona un acercamiento teórico a los Sistemas de Redes Neuronales Artificiales, así como a los software en los que se pueden realizar estás implementaciones y mostrar la manera en que esta metodología puede constituirse como una método para predecir series de tiempo económicas. Con el fin de contrastar los resultados obtenidos, se ajusta un modelo ARIMA, que corresponde a una de las metodologías convencionalmente utilizadas en la ciencia económica. La aplicación de estos procesos es realizada sobre la Tasa Representativa del Mercado (TRM) con el apoyo del software R-Project resaltando una aproximación a los resultados que se pueden obtener con esta forma de inteligencia artificial.

Suggested Citation

  • Viviana María Oquendo Patiño, 2012. "Redes neuronales artificiales en las ciencias económicas," ECONOGRAFOS - ESCUELA DE ECONOMÍA 009938, UN - RCE - CID.
  • Handle: RePEc:col:000176:009938
    as

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    File URL: http://www.fce.unal.edu.co/publicaciones/index.php?option=com_content&view=article&id=168:20-redes-neuronales-artificiales-en-las-ciencias-economicas&catid=44:econografos-escuela-de-economia
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    References listed on IDEAS

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    1. Ana María Iregui & Ligia Melo B. & Jorge Ramos F., 2006. "Evaluación Y Análisis De Eficiencia De La Educación En Colombia," BORRADORES DE ECONOMIA 002645, BANCO DE LA REPÚBLICA.
    2. repec:dau:papers:123456789/10091 is not listed on IDEAS
    3. Andrés Fernando Casas Moreno & Juan Miguel Gallego Acevedo & Carlos Eduardo Sepúlveda Rico, 2003. "Retornos a la educacion y sesgo de habilidad : teoria y aplicaciones en Colombia," Lecturas de Economía, Universidad de Antioquia, Departamento de Economía, pages 69-96.
    4. Carlos Esteban Posada & Jorge Andrés Tamayo, 2008. "La transición hacia una economía urbana y el aumento del producto per cápita: el caso colombiano del siglo XX desde la perspectiva de Lucas," BORRADORES DE ECONOMIA 005111, BANCO DE LA REPÚBLICA.
    5. Carlos Esteban Posada, 1995. "Crecimiento Económico , Capital Humano, Ahorro E Intituciones," BORRADORES DE ECONOMIA 002215, BANCO DE LA REPÚBLICA.
    6. Neira, Isabel, 2000. "Educacion y desarrollo economico: el papel de la cooperacion internacional en el desarrollo del tercer mundo," Economic Development 47, University of Santiago de Compostela. Faculty of Economics and Business. Econometrics..
    7. Alejandro GAVIRIA, Jorge Hugo BARRIENTOS & Jorge Hugo BARRIENTOS, 2001. "Determinantes de la calidad de la educación en Colombia," ARCHIVOS DE ECONOMÍA 002301, DEPARTAMENTO NACIONAL DE PLANEACIÓN.
    8. Cecilia Garcia-Penalosa & Eve Caroli & Philippe Aghion, 1999. "Inequality and Economic Growth: The Perspective of the New Growth Theories," Journal of Economic Literature, American Economic Association, vol. 37(4), pages 1615-1660, December.
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    10. Lucas, Robert Jr., 1988. "On the mechanics of economic development," Journal of Monetary Economics, Elsevier, vol. 22(1), pages 3-42, July.
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    More about this item

    Keywords

    Artificial Neural Network Systems; ARIMA; TRM.;

    JEL classification:

    • F17 - International Economics - - Trade - - - Trade Forecasting and Simulation
    • F37 - International Economics - - International Finance - - - International Finance Forecasting and Simulation: Models and Applications
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques

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