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Redes neuronales artificiales en las ciencias económicas

  • Viviana María Oquendo Patiño

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    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.

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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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    Paper provided by UN - RCE - CID in its series ECONOGRAFOS - ESCUELA DE ECONOMÍA with number 009938.

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    Length: 21
    Date of creation: 28 Mar 2012
    Date of revision:
    Handle: RePEc:col:000176:009938
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