A method to resolve the overfitting problem in recurrent neural networks for prediction of complex systemsa behavior
In this paper a new method to resolve the overfitting problem for predicting complex systemspsila behavior has been proposed. This problem occurs when a neural network loses its generalization. The method is based on the training of recurrent [abstract truncated by publisher].
Gespeichert in:
Veröffentlicht in: | Brazilian Symposium on Neural Networks. Proceedings 2008-06, Vol.10, p.3723-3728 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | In this paper a new method to resolve the overfitting problem for predicting complex systemspsila behavior has been proposed. This problem occurs when a neural network loses its generalization. The method is based on the training of recurrent [abstract truncated by publisher]. |
---|---|
ISSN: | 1522-4899 |
DOI: | 10.1109/IJCNN.2008.4634332 |