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2003 | OriginalPaper | Buchkapitel

Boosting Recurrent Neural Networks for Time Series Prediction

verfasst von : R. Boné, M. Assaad, M. Crucianu

Erschienen in: Artificial Neural Nets and Genetic Algorithms

Verlag: Springer Vienna

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We adapt a boosting algorithm to the problem of predicting future values of time series, using recurrent neural networks as base learners. The experiments we performed show that boosting actually provides improved results and that the weighted median is better for combining the learners than the weighted mean.

Metadaten
Titel
Boosting Recurrent Neural Networks for Time Series Prediction
verfasst von
R. Boné
M. Assaad
M. Crucianu
Copyright-Jahr
2003
Verlag
Springer Vienna
DOI
https://doi.org/10.1007/978-3-7091-0646-4_4

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