An Information-Theoretic Approach to Neural Computing - Couverture souple

Deco, Gustavo; Obradovic, Dragan

 
9781461284697: An Information-Theoretic Approach to Neural Computing
Couverture souple
ISBN 10 : 1461284694 ISBN 13 : 9781461284697
Editeur : Springer, 2011

Synopsis

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.

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Éditeur
Springer
Date d'édition
2011
Langue
anglais
ISBN 10 
1461284694
ISBN 13 
9781461284697
Reliure
Broché
Nombre de pages
280
Coordonnées du fabricant
non disponible
Personne responsable
CMN Printpool Inh. Mathis Neumann
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Hamburg
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Autres éditions populaires du même titre

9780387946665: An Information-Theoretic Approach to Neural Computing

Edition présentée

ISBN 10 :  0387946667 ISBN 13 :  9780387946665
Editeur : Springer-Verlag New York Inc., 1996
Couverture rigide