Sistema de Información Científica Redalyc
Red de Revistas Científicas de América Latina y el Caribe, España y Portugal

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Time series forecasting is an active area for the application of Artificial Neural Networks (ANNs). Although the selection of an ANN has been greatly simplified, it remains a challenge to adequately determine the ANN’s parameters. In this work a method based on statistical analysis and optimization techniques is proposed to select the ANN´s parameters for application in time series forecasting. The results on the successful application of the method in a real demand forecasting problem for the telecommunications industry are also reported. .

Palabras clave: Artificial Neural Networks, Time Series Forecasting, Design and Analysis of Experiments.
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Universidad Autónoma del Estado de México
Sistema de Información Científica Redalyc ®
Versión 3.0 | 2018
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