Recurrent neural networks for prediction: learning...

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Recurrent neural networks for...

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

Name: Recurrent neural networks for prediction: learning algorithms, architectures, and stability
ISBN: 9780471495178

Danilo Mandic, Jonathon Chambers

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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.

카테고리:

Computers - Computer Science

년:

2001

판:

1st

출판사:

John Wiley

언어:

english

페이지:

295