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Neural Networks for Optimization and Signal Processing

Andrzej Cichocki | R. Unbehauen
€301.26
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A01=Andrzej Cichocki
A01=R. Unbehauen
anns
approach
artificial
Author_Andrzej Cichocki
Author_R. Unbehauen
book
Category=UYQN
Category=UYS
Category=UYT
cichocki
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eq_computing
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eq_nobargain
eq_non-fiction
germany
guide
mathematics
networks
neural
neural networks
new
optimization
problems
provide
real
solutions
spectrum
techniques
technology
time
unbehauen
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visualization
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Product details

  • ISBN 9780471930105
  • Weight: 936g
  • Dimensions: 159 x 234mm
  • Publication Date: 14 Apr 1993
  • Publisher: John Wiley & Sons Inc
  • Publication City/Country: US
  • Product Form: Hardback
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Description
A topical introduction on the ability of artificial neural networks to not only solve on-line a wide range of optimization problems but also to create new techniques and architectures. Provides in-depth coverage of mathematical modeling along with illustrative computer simulation results.
About Andrzej Cichocki | R. Unbehauen

Andrzej Cichocki received the M.Sc. (with honors), Ph.D. and Dr.Sc. (Habilitation) degrees, all in electrical engineering, from Warsaw University of Technology in Poland.

Since 1972, he has been with the Institute of Theory of Electrical Engineering, Measurement and Information Systems, Faculty of Electrical Engineering at the Warsaw University of Technology, where he obtain a title of a full Professor in 1995.

He spent several years at University Erlangen-Nuerenberg in Germany, at the Chair of Applied and Theoretical Electrical Engineering directed by Professor Rolf Unbehauen, as an Alexander-von-Humboldt Research Fellow and Guest Professor. In 1995-1997 he was a team leader of the laboratory for Artificial Brain Systems, at Frontier Research Program RIKEN (Japan), in the Brain Information Processing Group.

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