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11

NN
2000
Springer

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Multi-step-ahead prediction using dynamic recurrent neural networks

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Multi-step-ahead prediction using dynamic recurrent neural networks

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A method for the development of empirical predictive models for complex processes is presented. The models are capable of performing accurate multi-step-ahead (MS) predictions, while maintaining acceptable single-step-ahead (SS) prediction accuracy. Such predictors

Alexander G. Parlos, Omar T. Rais, Amir F. Atiya

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Accurate Ms Predictions | Complex Processes | Empirical Predictive Models | Neural Networks | NN 2000 |

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Added	19 Dec 2010
Updated	19 Dec 2010
Type	Journal
Year	2000
Where	NN
Authors	Alexander G. Parlos, Omar T. Rais, Amir F. Atiya

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