Recurrent neural networks for prediction : learning algorithms, architectures, and stability /

New technologies in engineering, physics and biomedicine are demanding increasingly complex methods of digital signal processing. By presenting the latest research work the authors demonstrate how real-time recurrent neural networks (RNNs) can be implemented to expand the range of traditional signal...

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Bibliographic Details

Main Author:	Mandic, Danilo P.
Other Authors:	Chambers, Jonathon A.
Format:	eBook
Language:	English
Language Notes:	English.
Published:	Chichester ; New York : John Wiley, ©2001.
Series:	Adaptive and learning systems for signal processing, communications, and control.
Subjects:	Machine learning. Neural networks (Computer science)
Online Access:	Connect to the full text of this electronic book