Idioma: Inglés
Publicado por Wiley & Sons, Incorporated, John, 1996
ISBN 10: 0471054364 ISBN 13: 9780471054368
Librería: Better World Books Ltd, Dunfermline, Reino Unido
EUR 12,27
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Añadir al carritoCondición: 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.
Idioma: Inglés
Publicado por John Wiley & Sons 02/n /22 J, 1996
ISBN 10: 0471054364 ISBN 13: 9780471054368
Librería: Bahamut Media, Reading, Reino Unido
EUR 11,91
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Añadir al carritoCondición: 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.
Librería: Solr Books, Lincolnwood, IL, Estados Unidos de America
EUR 22,31
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Añadir al carritoCondición: very_good. This books is in Very good condition. There may be a few flaws like shelf wear and some light wear.
Librería: AwesomeBooks, Wallingford, Reino Unido
EUR 36,84
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Añadir al carritoHardcover. Condición: 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.
Idioma: Inglés
Publicado por Wiley-Interscience, Ny, 1996
ISBN 10: 0471054364 ISBN 13: 9780471054368
Librería: Feldman's Books, Menlo Park, CA, Estados Unidos de America
Original o primera edición
EUR 66,97
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Añadir al carritoHardcover. Condición: Fine. 1st Edition. No Markings.
Librería: Emile Kerssemakers ILAB, Heerlen, Holanda
EUR 60,00
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Añadir al carrito24 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.
Librería: Buchpark, Trebbin, Alemania
EUR 35,76
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Añadir al carritoCondición: 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.
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
EUR 171,31
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Añadir al carritoHRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 167,46
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Añadir al carritoCondición: new.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 181,11
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 182,15
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 171,30
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Añadir al carritoCondición: New.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 180,92
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 182,78
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 222,54
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Añadir al carritoCondición: New. pp. 272.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 237,60
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Añadir al carritoCondición: New. pp. 272.
Idioma: Inglés
Publicado por John Wiley and Sons Ltd, 1996
ISBN 10: 0471054364 ISBN 13: 9780471054368
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Original o primera edición
EUR 228,03
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Añadir al carritoCondición: 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. . . . .
Librería: moluna, Greven, Alemania
EUR 198,18
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Añadir al carritoGebunden. Condición: 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.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 259,05
Cantidad disponible: 2 disponibles
Añadir al carritoHardcover. Condición: Brand New. 1st edition. 272 pages. 9.75x6.50x0.75 inches. In Stock.
Idioma: Inglés
Publicado por John Wiley and Sons Ltd, 1996
ISBN 10: 0471054364 ISBN 13: 9780471054368
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
EUR 288,30
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: 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.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 244,49
Cantidad disponible: 2 disponibles
Añadir al carritoBuch. Condición: 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.
Idioma: Inglés
Publicado por John Wiley & Sons Inc, New York, 1996
ISBN 10: 0471054364 ISBN 13: 9780471054368
Librería: CitiRetail, Stevenage, Reino Unido
Original o primera edición Impresión bajo demanda
EUR 193,27
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: 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.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 240,32
Cantidad disponible: 2 disponibles
Añadir al carritoHardcover. Condición: Brand New. 1st edition. 272 pages. 9.75x6.50x0.75 inches. In Stock. This item is printed on demand.