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Statistical characterization and optimization of artificial neural networks in time series forecasting: the one-period forecast case

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...

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Publicado no:Computación y Sistemas
Main Authors: María Angélica Salazar Aguilar, Guillermo J. Moreno Rodríguez, Mauricio Cabrera-Ríos
Formato: Artigo
Idioma:Inglês
Publicado em: Instituto Politécnico Nacional 2006
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Acesso em linha:https://www.redalyc.org/articulo.oa?id=61501106
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