Principal Component Neural Networks: Theory and Applications - Couverture rigide

Livre 16 sur 33: Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control

Diamantaras, K. I.; Kung, S. Y.

9780471054368: Principal Component Neural Networks: Theory and Applications

Couverture rigide

ISBN 10 : 0471054364 ISBN 13 : 9780471054368

Editeur : Wiley-Interscience, 1996

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Systematically explores the relationship between principal component analysis (PCA) and neural networks. Provides a synergistic examination of the mathematical, algorithmic, application and architectural aspects of principal component neural networks. Using a unified formulation, the authors present neural models performing PCA from the Hebbian learning rule and those which use least squares learning rules such as back–propagation. Examines the principles of biological perceptual systems to explain how the brain works. Every chapter contains a selected list of applications examples from diverse areas.

Les informations fournies dans la section � Synopsis � peuvent faire r�f�rence � une autre �dition de ce titre.

� propos de l?auteur

K. I. Diamantaras is a research scientist at Aristotle University in Thessaloniki, Greece. He received his PhD from Princeton University and was formerly a research scientist for Siemans Corporate Research.

S. Y. Kung is Professor of Electrical Engineering at Princeton University and received his PhD from Stanford University. He was formerly a professor of electrical engineering at the University of Southern California.

Les informations fournies dans la section � A propos du livre � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteur: Wiley-Interscience
Date d'�dition: 1996
Langue: anglais
ISBN 10: 0471054364
ISBN 13: 9780471054368
Reliure: Reli�
Nombre de pages: 272
Coordonn�es du fabricant: Wiley VCH Verlag GmbH
info@wiley-vch.de

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Neural Networks: Theory and Applications: 4 (Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control)

Diamantaras

Edit� par John Wiley & Sons 02/n /22 J, 1996

ISBN 10 : 0471054364 ISBN 13 : 9780471054368

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Principal Component Neural Networks: Theory and Applications

Diamantaras, K. I.; Kung, S. Y.

Edit� par Wiley-Interscience, 1996

ISBN 10 : 0471054364 ISBN 13 : 9780471054368

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Neural Networks: Theory and Applications: 4 (Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control)

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ISBN 10 : 0471054364 ISBN 13 : 9780471054368

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Hardcover. Etat : Very Good. Neural Networks: Theory and Applications: 4 (Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control) This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. N� de r�f. du vendeur 7719-9780471054368

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Principal Component Neural Networks: Theory and Applications

Diamantaras, K. I.; Kung, S. Y.

Edit� par Wiley-Interscience, Ny, 1996

ISBN 10 : 0471054364 ISBN 13 : 9780471054368

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Principal component neural networks. theory and applications.

DIAMANTARAS, K.I. and S.Y. KUNG.

Edit� par Wiley, New York, 1996

ISBN 10 : 0471054364 ISBN 13 : 9780471054368

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24 cm. original hardcover. xii,256 pp. diagrams. bibliography. index. "Adaptive and Learning Systems for Signal Processing, Communications, and Control". -(owner's name, otherwise (very) good). 555g. N� de r�f. du vendeur 70552

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Neural Networks

Diamantaras, Kung

Edit� par John Wiley & Sons, 1996

ISBN 10 : 0471054364 ISBN 13 : 9780471054368

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Etat : Gut. Zustand: Gut | Seiten: 268 | Sprache: Englisch | Produktart: B�cher | Principal Component Neural Networks Theory and Applications Understanding the underlying principles of biological perceptual systems is of vital importance not only to neuroscientists, but, increasingly, to engineers and computer scientists who wish to develop artificial perceptual systems. In this original and groundbreaking work, the authors systematically examine the relationship between the powerful technique of Principal Component Analysis (PCA) and neural networks. Principal Component Neural Networks focuses on issues pertaining to both neural network models (i.e., network structures and algorithms) and theoretical extensions of PCA. In addition, it provides basic review material in mathematics and neurobiology. This book presents neural models originating from both the Hebbian learning rule and least squares learning rules, such as back-propagation. Its ultimate objective is to provide a synergistic exploration of the mathematical, algorithmic, application, and architectural aspects of principal component neural networks. Especially valuable to researchers and advanced students in neural network theory and signal processing, this book offers application examples from a variety of areas, including high-resolution spectral estimation, system identification, image compression, and pattern recognition. N� de r�f. du vendeur 226244/3

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Principal Component Neural Networks : Theory and Applications

Diamantaras, Konstantinos I.; Kung, S. Y.

Edit� par Wiley-Interscience, 1996

ISBN 10 : 0471054364 ISBN 13 : 9780471054368

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Principal Component Neural Networks (Hardcover)

K.I. Diamantaras

Edit� par John Wiley & Sons Inc, New York, 1996

ISBN 10 : 0471054364 ISBN 13 : 9780471054368

Neuf Couverture rigide Edition originale

Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis

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Hardcover. Etat : new. Hardcover. Systematically explores the relationship between principal component analysis (PCA) and neural networks. Provides a synergistic examination of the mathematical, algorithmic, application and architectural aspects of principal component neural networks. Using a unified formulation, the authors present neural models performing PCA from the Hebbian learning rule and those which use least squares learning rules such as back-propagation. Examines the principles of biological perceptual systems to explain how the brain works. Every chapter contains a selected list of applications examples from diverse areas. Systematically explores the relationship between principal component analysis (PCA) and neural networks. Provides a synergistic examination of the mathematical, algorithmic, application and architectural aspects of principal component neural networks. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N� de r�f. du vendeur 9780471054368

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Principal Component Neural Networks - Theory and Applications (eng)

Diamantaras, K. I.

Edit� par Wiley-Interscience, 1996

ISBN 10 : 0471054364 ISBN 13 : 9780471054368

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Vendeur : Brook Bookstore On Demand, Napoli, NA, Italie

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Principal Component Neural Networks : Theory and Applications

Diamantaras, Konstantinos I.; Kung, S. Y.

Edit� par Wiley-Interscience, 1996

ISBN 10 : 0471054364 ISBN 13 : 9780471054368

Ancien ou d'occasion Couverture rigide

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