Recurrent neural networks for prediction : learning algorithms, architectures, and stability /
New technologies in engineering, physics and biomedicine are demanding increasingly complex methods of digital signal processing. By presenting the latest research work the authors demonstrate how real-time recurrent neural networks (RNNs) can be implemented to expand the range of traditional signal...
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| Format: | eBook |
| Language: | English |
| Language Notes: | English. |
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Chichester ; New York :
John Wiley,
©2001.
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| Series: | Adaptive and learning systems for signal processing, communications, and control.
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| Online Access: | Connect to the full text of this electronic book |
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