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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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| 出版年: | Computación y Sistemas |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Instituto Politécnico Nacional
2006
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| 主題: | |
| オンライン･アクセス: | https://www.redalyc.org/articulo.oa?id=61501106 |
| タグ: |
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