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paperback. Condition: 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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Published by Bradford Books, Cambridge, Massachusetts, U.S.A., 1999
ISBN 10: 0262181908 ISBN 13: 9780262181907
Language: English
Hard Cover. Condition: Very Good. Dust Jacket Condition: Very Good. A clean, unmarked copy with a tight binding. 346 pages.
Published by The MIT Press, 1999., 1999
Seller: The Book Firm, Subiaco, WA, Australia
Hardcover. Small 4to. Condition vg in dustjacket. 346pp. ISBN-10 0262181908.
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Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Published by The MIT Press Bookstore, 1999
ISBN 10: 0262527014 ISBN 13: 9780262527019
Language: English
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Paperback. Condition: Brand New. 358 pages. 9.00x6.00x1.20 inches. In Stock.
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Condition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher.
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Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 662.
Published by The MIT Press Bookstore, 1999
ISBN 10: 0262527014 ISBN 13: 9780262527019
Language: English
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Published by The MIT Press Bookstore, 1999
ISBN 10: 0262527014 ISBN 13: 9780262527019
Language: English
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Condition: New. PRINT ON DEMAND.
Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. Neural Smithing | Supervised Learning in Feedforward Artificial Neural Networks | Russell Reed (u. a.) | Taschenbuch | Englisch | 1999 | MIT Press | EAN 9780262527019 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Artificial neural networks are nonlinear mapping systems whose structure is loosely based on principles observed in the nervous systems of humans and animals. The basic idea is that massive systems of simple units linked together in appropriate ways can generate many complex and interesting behaviors. This book focuses on the subset of feedforward artificial neural networks called multilayer perceptrons (MLP). These are the mostly widely used neural networks, with applications as diverse as finance (forecasting), manufacturing (process control), and science (speech and image recognition).