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Hardcover. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
Hardcover. Condition: New. In shrink wrap.
Language: English
Published by Springer-Verlag Publishing, 1997
ISBN 10: 0792398157 ISBN 13: 9780792398158
Seller: Salish Sea Books, Bellingham, WA, U.S.A.
Condition: Good. Good+; Hardcover; Withdrawn library copy with the standard library markings; Light wear to the covers; Library stamps to the endpapers; Text pages are clean & unmarked; Binding is excellent with a straight spine; This book will be shipped in a sturdy cardboard box with foam padding; Medium Format (8.5" - 9.75" tall); Light green covers with title in black lettering; 1997, Springer-Verlag Publishing; 588 pages; "Communications, Computation, Control, and Signal Processing: a Tribute to Thomas Kailath," by Arogyaswami Paulraj, et al.
Language: English
Published by Kluwer Academic Publishers, 1997
ISBN 10: 0792398157 ISBN 13: 9780792398158
Seller: Michener & Rutledge Booksellers, Inc., Baldwin City, KS, U.S.A.
Hardcover. Condition: Very Good. Text clean and tight; no dust jacket; 9.30 X 6.40 X 1.70 inches; 588 pages.
Language: English
Published by Kluwer | Boston Utrecht | 1994, 1994
ISBN 10: 079239478X ISBN 13: 9780792394785
Seller: Libereso, Amsterdam, Netherlands
Hardcover. In good+ condition. Ex library. Sticker on spine, some stamps inside. Light wear. 468 pp.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Condition: New. pp. 496 Index.
Taschenbuch. Condition: Neu. Theoretical Advances in Neural Computation and Learning | Vwani Roychowdhury (u. a.) | Taschenbuch | xxiv | Englisch | 2012 | Springer | EAN 9781461361602 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Language: English
Published by Springer US, Springer US, 1994
ISBN 10: 079239478X ISBN 13: 9780792394785
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - For any research field to have a lasting impact, there must be a firm theoretical foundation. Neural networks research is no exception. Some of the founda tional concepts, established several decades ago, led to the early promise of developing machines exhibiting intelligence. The motivation for studying such machines comes from the fact that the brain is far more efficient in visual processing and speech recognition than existing computers. Undoubtedly, neu robiological systems employ very different computational principles. The study of artificial neural networks aims at understanding these computational prin ciples and applying them in the solutions of engineering problems. Due to the recent advances in both device technology and computational science, we are currently witnessing an explosive growth in the studies of neural networks and their applications. It may take many years before we have a complete understanding about the mechanisms of neural systems. Before this ultimate goal can be achieved, an swers are needed to important fundamental questions such as (a) what can neu ral networks do that traditional computing techniques cannot, (b) how does the complexity of the network for an application relate to the complexity of that problem, and (c) how much training data are required for the resulting network to learn properly Everyone working in the field has attempted to answer these questions, but general solutions remain elusive. However, encouraging progress in studying specific neural models has been made by researchers from various disciplines.
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - For any research field to have a lasting impact, there must be a firm theoretical foundation. Neural networks research is no exception. Some of the founda tional concepts, established several decades ago, led to the early promise of developing machines exhibiting intelligence. The motivation for studying such machines comes from the fact that the brain is far more efficient in visual processing and speech recognition than existing computers. Undoubtedly, neu robiological systems employ very different computational principles. The study of artificial neural networks aims at understanding these computational prin ciples and applying them in the solutions of engineering problems. Due to the recent advances in both device technology and computational science, we are currently witnessing an explosive growth in the studies of neural networks and their applications. It may take many years before we have a complete understanding about the mechanisms of neural systems. Before this ultimate goal can be achieved, an swers are needed to important fundamental questions such as (a) what can neu ral networks do that traditional computing techniques cannot, (b) how does the complexity of the network for an application relate to the complexity of that problem, and (c) how much training data are required for the resulting network to learn properly Everyone working in the field has attempted to answer these questions, but general solutions remain elusive. However, encouraging progress in studying specific neural models has been made by researchers from various disciplines.
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Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. Communications, Computation, Control, and Signal Processing | a tribute to Thomas Kailath | Arogyaswami Paulraj (u. a.) | Taschenbuch | xiii | Englisch | 2012 | Springer | EAN 9781461378839 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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