Fundraising September 15, 2024 – October 1, 2024 About fundraising

Recurrent neural networks for prediction: learning...

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

Danilo Mandic, Jonathon Chambers
How much do you like this book?
What’s the quality of the file?
Download the book for quality assessment
What’s the quality of the downloaded files?
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:
9780471495178
Series:
Wiley series in adaptive and learning systems for signal processing, communications, and control
File:
DJVU, 5.48 MB
IPFS:
CID , CID Blake2b
english, 2001
Read Online
Conversion to is in progress
Conversion to is failed

Most frequently terms