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9780471054368 - Principal Component Neural Networks: Theory and Applications di Diamantaras, Konstantinos I.; Kung, S. Y. (26 risultati)
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Hardcover. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Principal Component Neural Networks: Theory and Applications
Libro 16 di 33: Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and ControlDa: ThriftBooks-Dallas, Dallas, TX, U.S.A.
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Principal Component Neural Networks: Theory and Applications
Libro 16 di 33: Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and ControlDa: Solr Books, Lincolnwood, IL, U.S.A.
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Principal Component Neural Networks: Theory and Applications
Libro 16 di 33: Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and ControlDa: Feldman's Books, Menlo Park, CA, U.S.A.
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Principal component neural networks. theory and applications.
Libro 16 di 33: Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and ControlDa: Emile Kerssemakers ILAB, Heerlen, Paesi Bassi
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Aggiungi al carrello24 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.
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Neural Networks
Libro 16 di 33: Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and ControlEUR 30,81
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Aggiungi al carrelloCondizione: Gut. Zustand: Gut | Seiten: 268 | Sprache: Englisch | Produktart: Bücher | 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.
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Principal Component Neural Networks : Theory and Applications
Libro 16 di 33: Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and ControlDa: GreatBookPrices, Columbia, MD, U.S.A.
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Principal Component Neural Networks (Hardcover)
Libro 16 di 33: Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and ControlLingua: Inglese
Editore: John Wiley & Sons Inc, New York, 1996
ISBN 10: 0471054364 ISBN 13: 9780471054368
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
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Hardcover. Condizione: 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.
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Principal Component Neural Networks - Theory and Applications (eng)
Libro 16 di 33: Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and ControlDa: Brook Bookstore On Demand, Napoli, NA, Italia
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Principal Component Neural Networks : Theory and Applications
Libro 16 di 33: Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and ControlDa: GreatBookPrices, Columbia, MD, U.S.A.
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Principal Component Neural Networks: Theory and Applications (Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control)
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Principal Component Neural Networks : Theory and Applications
Libro 16 di 33: Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and ControlDa: GreatBookPricesUK, Woodford Green, Regno Unito
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Principal Component Neural Networks: Theory and Applications (Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control)
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Principal Component Neural Networks : Theory and Applications
Libro 16 di 33: Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and ControlDa: GreatBookPricesUK, Woodford Green, Regno Unito
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Principal Component Neural Networks
Libro 16 di 33: Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and ControlDa: Majestic Books, Hounslow, Regno Unito
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Aggiungi al carrelloCondizione: New. pp. 272.
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Principal Component Neural Networks
Libro 16 di 33: Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and ControlDa: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
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Aggiungi al carrelloCondizione: New. 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. Series: Adaptive and Learning Systems for Signal Processing, Communications and Control Series. Num Pages: 272 pages, Illustrations. BIC Classification: UYQN. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 240 x 166 x 21. Weight in Grams: 536. . 1996. 1st Edition. Hardcover. . . . .
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Principal Component Neural Networks
Libro 16 di 33: Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and ControlDa: Books Puddle, New York, NY, U.S.A.
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Condizione: New. pp. 272.
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Principal Component Neural Networks
Libro 16 di 33: Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and ControlEUR 195,85
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Aggiungi al carrelloGebunden. Condizione: New. 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 a.
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Principal Component Neural Networks Theory and Applications
Libro 16 di 33: Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and ControlDa: Revaluation Books, Exeter, Regno Unito
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Aggiungi al carrelloHardcover. Condizione: Brand New. 1st edition. 272 pages. 9.75x6.50x0.75 inches. In Stock.
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Principal Component Neural Networks
Libro 16 di 33: Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and ControlDa: Kennys Bookstore, Olney, MD, U.S.A.
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Aggiungi al carrelloCondizione: New. 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. Series: Adaptive and Learning Systems for Signal Processing, Communications and Control Series. Num Pages: 272 pages, Illustrations. BIC Classification: UYQN. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 240 x 166 x 21. Weight in Grams: 536. . 1996. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.
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Principal Component Neural Networks : Theory and Applications
Libro 16 di 33: Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and ControlEUR 241,63
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Aggiungi al carrelloBuch. Condizione: Neu. Neuware - 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.
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Principal Component Neural Networks (Hardcover)
Libro 16 di 33: Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and ControlLingua: Inglese
Editore: John Wiley & Sons Inc, New York, 1996
ISBN 10: 0471054364 ISBN 13: 9780471054368
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Aggiungi al carrelloHardcover. Condizione: 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 our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Principal Component Neural Networks
Libro 16 di 33: Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and ControlDa: PBShop.store UK, Fairford, GLOS, Regno Unito
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Principal Component Neural Networks
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Principal Component Neural Networks (Hardcover)
Libro 16 di 33: Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and ControlLingua: Inglese
Editore: John Wiley & Sons Inc, New York, 1996
ISBN 10: 0471054364 ISBN 13: 9780471054368
Da: CitiRetail, Stevenage, Regno Unito
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Aggiungi al carrelloHardcover. Condizione: 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Principal Component Neural Networks Theory and Applications
Libro 16 di 33: Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and ControlDa: Revaluation Books, Exeter, Regno Unito
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Aggiungi al carrelloHardcover. Condizione: Brand New. 1st edition. 272 pages. 9.75x6.50x0.75 inches. In Stock. This item is printed on demand.
