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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.

Author(s): Danilo Mandic, Jonathon Chambers
Series: Wiley series in adaptive and learning systems for signal processing, communications, and control
Edition: 1st
Publisher: John Wiley
Year: 2001

Language: English
Pages: 295
City: Chichester; New York
Tags: Информатика и вычислительная техника;Искусственный интеллект;Нейронные сети;