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Yunong Zhang

Recurrent Neural Networks

Design, Analysis, Applications to Control and Robotic Systems

Buch

Because of massively parallel distributed nature and very fast convergence rates, recurrent neural networks (RNN) are widely applied to solving many problems in optimization, control and robotic systems, etc. Hence, this book investigates the following RNN models which solve some practical problems, together with their corresponding analysis on stability and convergence. A type of multilayer pole-assignment neural networks is applied to online synthesizing and tuning feedback control systems. Then, a novel RNN model is established by absorbing the first-order time-derivative information to solve the Sylvester equation with time-varying coeffi… Mehr

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Produktdetails


  • ISBN: 978-3-8383-0382-6
  • EAN: 9783838303826
  • Produktnummer: 37363374
  • Verlag: LAP Lambert Academic Publishing
  • Sprache: Englisch
  • Erscheinungsjahr: 2010
  • Seitenangabe: 200 S.
  • Masse: H22.0 cm x B15.0 cm x D1.2 cm 316 g
  • Abbildungen: Paperback
  • Gewicht: 316

Über den Autor


Yunong Zhang is a professor at School of Information Science and Technology, Sun Yat-Sen University (SYSU), China. Before joining SYSU, he had been with National University of Ireland, University of Strathclyde, National University of Singapore, Chinese University of Hong Kong, since 1999. His main research interests are neural networks.

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