Abstract
In this Introduction we give first a short explanation about neural information processing systems in Section 1.1, including basic architectures, learning modes and some brief history. In Section 1.2 we motivate the use of artificial neural networks for modelling and control. In Section 1.3 we sketch the broad picture of this book, together with a Chapter by Chapter overview. In Section 1.4 own contributions are listed.
Keywords
- Recurrent Neural Network
- Multilayer Perceptrons
- Cellular Neural Network
- Global Asymptotic Stability
- Neural Network Architecture
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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© 1996 Springer Science+Business Media Dordrecht
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Suykens, J.A.K., Vandewalle, J.P.L., De Moor, B.L.R. (1996). Introduction. In: Artificial Neural Networks for Modelling and Control of Non-Linear Systems. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-2493-6_1
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DOI: https://doi.org/10.1007/978-1-4757-2493-6_1
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4419-5158-8
Online ISBN: 978-1-4757-2493-6
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