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Information-Theoretic Approach to Neural Computing

Name: Information-Theoretic Approach to Neural Computing
Brand: Springer-Verlag New York Inc.
SKU: 01384116
Price: 40635 HUF
Availability: InStock
Author: Gustavo Deco
ISBN: 9780387946665

Gustavo Deco

Dragan Obradovic

Language

English

Book Hardback

Libristo code: 01384116

Publishers Springer-Verlag New York Inc., September 1997

Neural networks provide a powerful new technology to model and control nonlinear and complex systems... Full description

Libristo code: 01384116

271 b

40 635 Ft

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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.