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Perspectives in Neural Computing

An Information-Theoretic Approach to Neural Computing

Authors: Deco, Gustavo, Obradovic, Dragan

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  • ISBN 978-1-4612-4016-7
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  • ISBN 978-0-387-94666-5
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  • ISBN 978-1-4612-8469-7
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About this book

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 non-linear independent component analysis, and Boltzmann machines. Readers are assumed to have a basic understanding of neural networks, but all 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 to be a very valuable introduction to this topic.

Table of contents (10 chapters)

  • Introduction

    Deco, Gustavo (et al.)

    Pages 1-5

  • Preliminaries of Information Theory and Neural Networks

    Deco, Gustavo (et al.)

    Pages 7-37

  • Linear Feature Extraction: Infomax Principle

    Deco, Gustavo (et al.)

    Pages 41-63

  • Independent Component Analysis: General Formulation and Linear Case

    Deco, Gustavo (et al.)

    Pages 65-107

  • Nonlinear Feature Extraction: Boolean Stochastic Networks

    Deco, Gustavo (et al.)

    Pages 109-133

Buy this book

eBook $44.99
price for USA (gross)
  • ISBN 978-1-4612-4016-7
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $149.00
price for USA
  • ISBN 978-0-387-94666-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $59.99
price for USA
  • ISBN 978-1-4612-8469-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
An Information-Theoretic Approach to Neural Computing
Authors
Series Title
Perspectives in Neural Computing
Copyright
1996
Publisher
Springer-Verlag New York
Copyright Holder
Springer-Verlag New York, Inc.
eBook ISBN
978-1-4612-4016-7
DOI
10.1007/978-1-4612-4016-7
Hardcover ISBN
978-0-387-94666-5
Softcover ISBN
978-1-4612-8469-7
Series ISSN
1431-6854
Edition Number
1
Number of Pages
XIV, 262
Topics