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An Information-Theoretic Approach to Neural Computing

by Gustavo Deco

  • ISBN: 9780387946665
  • ISBN10: 0387946667

An Information-Theoretic Approach to Neural Computing

by Gustavo Deco

  • Binding: Hardcover
  • Publisher: Springer Verlag
  • Publish date: 06/01/1996
  • ISBN: 9780387946665
  • ISBN10: 0387946667
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Description: Neural networks provide a powerful new technology to model and control nonlinear and complex systems. In this book, the authors present a detailed formulation of neural networks from the information-theoretic viewpoint. They show how this perspective provides new insights into the design theory of neural networks. In particular, they show how these methods may be applied to the topics of supervised and unsupervised learning, including feature extraction, linear and nonlinear independent component analysis, and Boltzmann machines. Readers are assumed to have a basic understanding of neural networks, but all of the relevant concepts from information theory are carefully introduced and explained. Consequently, readers from several different scientific disciplines - notably, cognitive scientists, engineers, physicists, statisticians, and computer scientists - will find this book to be a very valuable contribution to this topic.
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Seller: Queen City Books
Location: Lynchburg, OH
Condition: Good
Size: 9x6x0; Hardcover clean with light shelfwear. Ink name on endpaper, else interior clean, binding secure. No jacket.
Price:
$22.45
Comments:
Size: 9x6x0; Hardcover clean with light shelfwear. Ink name on endpaper, else interior clean, binding secure. No jacket.
Seller: The Book Bin
Location: Salem, OR
Condition: Like New
Like New, very light shelf wear.
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Like New, very light shelf wear.
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