Robust Estimator for the Learning Process in Neural Networks Applied in Time Series-Reference-Cited by-同舟云学术

Robust Estimator for the Learning Process in Neural Networks Applied in Time Series

Published:2002 Issue: Volume: Page:1080-1086
ISSN:0302-9743
Container-title:Artificial Neural Networks — ICANN 2002
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Author:

Allende Héctor,Moraga Claudio,Salas Rodrigo

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/3-540-46084-5_175

Reference12 articles.

1. Allende H., Moraga C.: Time Series Forecasting with Neural Networks. Forschungsbericht N∘ 727/2000. Universitaet Dortmund Fachbereich Informatik. (2000)

2. Allende H., Heiler S.: Recursive Generalized M-Estimates for Autoregressive Moving Average Models. Journal of Time Series Analysis. 13 (1992) 1–18

3. Box G.E., Jenkins G.M. and Reinsel G.C: Time Series Analysis, Forecasting and Control. Ed. Prentice Hall. (1994)

4. Chen C., Liu L.M.: Forecasting time series with outliers. J. Forecast. 12 (1993) 13–35

5. Connor J. T., Martin R. D.: Recurrent Neural Networks and Robust Time Series Prediction. IEEE Transactions of Neural Networks 52 (1994) 240–253

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