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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 ANNs parameters. In this work a method based on statistical analysis and optimization...
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Publicado no: | Computación y Sistemas |
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Main Authors: | , , |
Formato: | Artigo |
Idioma: | Inglês |
Publicado em: |
Instituto Politécnico Nacional
2006
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Assuntos: | |
Acesso em linha: | https://www.redalyc.org/articulo.oa?id=61501106 |
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