Lingua: Inglese
Editore: Wiley & Sons, Incorporated, John, 1996
ISBN 10: 0471054364 ISBN 13: 9780471054368
Da: Better World Books Ltd, Dunfermline, Regno Unito
EUR 12,34
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: Very Good. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
Lingua: Inglese
Editore: John Wiley & Sons 02/n /22 J, 1996
ISBN 10: 0471054364 ISBN 13: 9780471054368
Da: Bahamut Media, Reading, Regno Unito
EUR 11,88
Quantità: 2 disponibili
Aggiungi al carrelloCondizione: Very Good. Shipped within 24 hours from our UK warehouse. Clean, undamaged book with no damage to pages and minimal wear to the cover. Spine still tight, in very good condition. Remember if you are not happy, you are covered by our 100% money back guarantee.
Condizione: very_good. This books is in Very good condition. There may be a few flaws like shelf wear and some light wear.
Da: AwesomeBooks, Wallingford, Regno Unito
EUR 36,13
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: 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.
Hardcover. Condizione: Fine. 1st Edition. No Markings.
Da: Emile Kerssemakers ILAB, Heerlen, Paesi Bassi
EUR 60,00
Quantità: 1 disponibili
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.
Da: Buchpark, Trebbin, Germania
EUR 35,74
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: Gut. Zustand: Gut | Seiten: 272 | 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.
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 170,94
Quantità: 15 disponibili
Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 167,46
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: new.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 182,43
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 182,99
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 170,93
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 180,53
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 182,37
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Majestic Books, Hounslow, Regno Unito
EUR 223,09
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New. pp. 272.
Condizione: New. pp. 272.
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Prima edizione
EUR 228,03
Quantità: Più di 20 disponibili
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. . . . .
Da: moluna, Greven, Germania
EUR 198,18
Quantità: Più di 20 disponibili
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.
Da: Revaluation Books, Exeter, Regno Unito
EUR 258,00
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 1st edition. 272 pages. 9.75x6.50x0.75 inches. In Stock.
Da: Kennys Bookstore, Olney, MD, U.S.A.
EUR 289,02
Quantità: Più di 20 disponibili
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.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 244,49
Quantità: 2 disponibili
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.
Lingua: Inglese
Editore: John Wiley & Sons Inc, New York, 1996
ISBN 10: 0471054364 ISBN 13: 9780471054368
Da: CitiRetail, Stevenage, Regno Unito
Prima edizione Print on Demand
EUR 192,85
Quantità: 1 disponibili
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.
Da: Revaluation Books, Exeter, Regno Unito
EUR 239,81
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 1st edition. 272 pages. 9.75x6.50x0.75 inches. In Stock. This item is printed on demand.