Are neural networks able to forecast nonlinear time series with moving average components?
In nonlinear time series forecasting, neural networks are interpreted as a nonlinear autoregressive models because they take as inputs the previous values of the time series. However, the use of neural networks to forecast nonlinear time series with moving components is an issue usually omitted in t...
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Veröffentlicht in: | Revista IEEE América Latina 2015-07, Vol.13 (7), p.2292-2300 |
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Sprache: | eng |
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