IDEAS home Printed from https://ideas.repec.org/p/col/000176/009938.html
   My bibliography  Save this paper

Redes neuronales artificiales en las ciencias económicas

Author

Listed:
  • Viviana María Oquendo Patino

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 Patino, 2012. "Redes neuronales artificiales en las ciencias económicas," Econógrafos, Escuela de Economía 9938, Universidad Nacional de Colombia, FCE, CID.
    • Handle: RePEc:col:000176:009938
    as

    Download full text from publisher

    File URL: http://fce.unal.edu.co/centro-editorial/docs/econografos-escuela-economia/19-apertura-y-modernizacion-economica-de-los-90-s-desigualdad-y-crecimiento-2
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Artificial Neural Network Systems; ARIMA; TRM.;
    All these keywords.

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:col:000176:009938. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Facultad de Ciencias Económicas Unal (email available below). General contact details of provider: https://edirc.repec.org/data/funalco.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.