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

✍ Scribed by Danilo Mandic, Jonathon Chambers

Publisher: John Wiley
Year: 2001
Tongue: English
Leaves: 295
Series: Wiley series in adaptive and learning systems for signal processing, communications, and control
Edition: 1st
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

✦ Subjects

Информатика и вычислительная техника;Искусственный интеллект;Нейронные сети;

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