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Neural Networks: Theory and Applications: 4 (Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control)
Book 16 of 33: Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and ControlLanguage: English
Published by John Wiley & Sons 02/n /22 J, 1996
ISBN 10: 0471054364 ISBN 13: 9780471054368
Condition: 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.
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Condition: very_good. This books is in Very good condition. There may be a few flaws like shelf wear and some light wear.
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Hardcover. Condition: 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.
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Principal Component Neural Networks: Theory and Applications
Book 16 of 33: Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and ControlLanguage: English
Published by Wiley-Interscience, Ny, 1996
ISBN 10: 0471054364 ISBN 13: 9780471054368
First Edition
Hardcover. Condition: Fine. 1st Edition. No Markings.
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Principal component neural networks. theory and applications.
Book 16 of 33: Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and ControlSeller: Emile Kerssemakers ILAB, Heerlen, Netherlands
Seller rating 5 out of 5 stars
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.
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Condition: 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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Condition: As New. Unread book in perfect condition.
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Principal Component Neural Networks (Hardcover)
Book 16 of 33: Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and ControlLanguage: English
Published by John Wiley & Sons Inc, New York, 1996
ISBN 10: 0471054364 ISBN 13: 9780471054368
First Edition
Hardcover. Condition: 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 (Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control)
Book 16 of 33: Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and ControlSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 150.48
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Principal Component Neural Networks : Theory and Applications
Book 16 of 33: Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and ControlSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 150.47
£ 15 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New.
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Principal Component Neural Networks : Theory and Applications
Book 16 of 33: Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and ControlSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 155.86
£ 15 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
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Principal Component Neural Networks (Hardcover)
Book 16 of 33: Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and ControlLanguage: English
Published by John Wiley & Sons Inc, New York, 1996
ISBN 10: 0471054364 ISBN 13: 9780471054368
First Edition
Hardcover. Condition: 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 UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Principal Component Neural Networks
Book 16 of 33: Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and ControlLanguage: English
Published by John Wiley and Sons Ltd, 1996
ISBN 10: 0471054364 ISBN 13: 9780471054368
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
First Edition
Condition: 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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Gebunden. Condition: 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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Hardcover. Condition: Brand New. 1st edition. 272 pages. 9.75x6.50x0.75 inches. In Stock.
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Principal Component Neural Networks
Book 16 of 33: Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and ControlLanguage: English
Published by John Wiley and Sons Ltd, 1996
ISBN 10: 0471054364 ISBN 13: 9780471054368
Condition: 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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Buch. Condition: 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)
Book 16 of 33: Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and ControlLanguage: English
Published by John Wiley & Sons Inc, New York, 1996
ISBN 10: 0471054364 ISBN 13: 9780471054368
First Edition
Hardcover. Condition: 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
Book 16 of 33: Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and ControlSeller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
£ 153.59
£ 5.87 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketHRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Hardcover. Condition: Brand New. 1st edition. 272 pages. 9.75x6.50x0.75 inches. In Stock. This item is printed on demand.
