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

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

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Within this text neural networks are considered as massively interconnected nonlinear adaptive filters. Offers a new insight into the learning algorithms, architectures and stability of recurrent neural networks and, consequently, will have instant appeal.
Year:
2001
Edition:
1st
Publisher:
John Wiley
Language:
english
Pages:
295
ISBN 10:
0471495174
ISBN 13:
9780470852392
Series:
Wiley series in adaptive and learning systems for signal processing, communications, and control
File:
DJVU, 5.48 MB
Download (djvu, 5.48 MB)

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