Resumen

ZAPATA GARRIDO, Luis Alberto  y  DIAZ MOJICA, Hugo Fabián. Predicción del tipo de cambio peso-dólar utilizando Redes Neuronales Artificiales (rna). Pensam. gest. [online]. 2008, n.24, pp.29-42. ISSN 1657-6276.

The objective of the present work is to realize predictions of the type of change peso-dollar being used Artificial Neuronal Networks (ANR´s), for which, the investigation was based to determine the existing relation between the obtained results and the effective types of change in the dates of study, to determine the type of neuronal network that adapts more to the prediction of types of change and to analyze the behavior of the variables of the ANR in the process of prediction of the types of change. In order to obtain this, using software Easy-N-extra, we selected information of twelve economic variables of the year 2005 that served as entrance to a system of neuronal networks, in that the exit was the type of change. Once realized the training of the network and established the values of the variables of entrance for the prediction process, the values of the type of change for the first month of year 2006 were obtained; of this form, eighteen tests were realized, using different combinations from variables. The obtained results show to low allowable errors between the predictions and the real results.

Palabras clave : Artificial prediction of the type of change; Neuronal Networks.

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