Evolutionaty training for dynamical recurrent neural networks: an application in finantial time series prediction

Theoretical and experimental studies have shown that traditional training algorithms for Dynamical Recurrent Neural Networks may suffer of local optima solutions, due to the error propagation across the recurrence. In the last years, many researchers have put forward different approaches to solve th...

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Hauptverfasser:	Delgado Calvo-Flores, Miguel, Pegalajar Jiménez, Mª Carmen, Pegalajar Cuéllar, Manuel
Format:	Artikel
Sprache:	cat
Online-Zugang:	Volltext
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