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An Information-theoretic Approach To Neu
Deco, Gustavo; Obradovic, D.
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Description for An Information-theoretic Approach To Neu
Hardback. Neural networks provide powerful technology to model and control nonlinear and complex systems. This book presents a detailed formulation of neural networks from the information-theoretic viewpoint, showing how this perspective provides insights into the design theory of neural networks. Series: Perspectives in Neural Computing. Num Pages: 262 pages, biography. BIC Classification: UYA; UYQN. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 17. Weight in Grams: 576.
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. ... Read more
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. ... Read more
Product Details
Format
Hardback
Publication date
1997
Publisher
Springer-Verlag New York Inc. United States
Number of pages
262
Condition
New
Series
Perspectives in Neural Computing
Number of Pages
262
Place of Publication
New York, NY, United States
ISBN
9780387946665
SKU
V9780387946665
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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