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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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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 22 J, 1996
ISBN 10: 0471054364 ISBN 13: 9780471054368
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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A TOOLBOX FOR ECONOMIC DESIGN
Language: English
Published by Palgrave Macmillan, New York, 2009
ISBN 10: 0230610609 ISBN 13: 9780230610606
Seller: Second Story Books, ABAA, Rockville, MD, U.S.A.
Seller rating 4 out of 5 stars
First Edition
Hardcover. First Edition, First Printing. Large Octavo, vi, vii, viii, x, 292 pages. In Very Good condition. Bound in the publisher's light blue with green cloth bearing green and white lettering to the spine. Boards have very slight wear. Text block has very slight wear. Illustrated. First edition, first printing. NOTE: Shelved in Locked Annex, Column CC. Oversized book(s). Additional postage necessary for international/expedited orders. Economy International unavailable due to size/weight restrictions. For international/expedited customers, please inquire for rates. 1412102. FP New Rockville Stock.
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A TOOLBOX FOR ECONOMIC DESIGN
Language: English
Published by Palgrave Macmillan, New York, 2009
ISBN 10: 0230610609 ISBN 13: 9780230610606
Seller: Second Story Books, ABAA, Rockville, MD, U.S.A.
Seller rating 4 out of 5 stars
Hardcover. Octavo, x, 292 pages. In Good plus condition. Spine is blue with black print. Boards in blue illustrated paper. Glue residue on rear from removed label. Illustrated: b&w tables. NOTE: Shelved in Netdesk Column G. 1378675. FP New Rockville Stock.
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A Toolbox for Economic Design
Seller: Midtown Scholar Bookstore, Harrisburg, PA, U.S.A.
Seller rating 5 out of 5 stars
Hardcover. Condition: Very Good. Very Good - Crisp, clean, unread book with some shelfwear/edgewear, may have a remainder mark - NICE Oversized.
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Condition: As New. Unread book in perfect condition.
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Artificial Neural Networks - ICANN 2010 (Paperback)
Language: English
Published by Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2010
ISBN 10: 3642158242 ISBN 13: 9783642158247
Paperback. Condition: new. Paperback. th This volume is part of the three-volume proceedings of the 20 International Conference on Arti?cial Neural Networks (ICANN 2010) that was held in Th- saloniki, Greece during September 1518, 2010. ICANN is an annual meeting sponsored by the European Neural Network Society (ENNS) in cooperation with the International Neural Network So- ety (INNS) and the Japanese Neural Network Society (JNNS). This series of conferences has been held annually since 1991 in Europe, covering the ?eld of neurocomputing, learning systems and other related areas. As in the past 19 events, ICANN 2010 provided a distinguished, lively and interdisciplinary discussion forum for researches and scientists from around the globe. Ito?eredagoodchanceto discussthe latestadvancesofresearchandalso all the developments and applications in the area of Arti?cial Neural Networks (ANNs). ANNs provide an information processing structure inspired by biolo- cal nervous systems and they consist of a large number of highly interconnected processing elements (neurons). Each neuron is a simple processor with a limited computing capacity typically restricted to a rule for combining input signals (utilizing an activation function) in order to calculate the output one. Output signalsmaybesenttootherunitsalongconnectionsknownasweightsth atexcite or inhibit the signal being communicated. ANNs have the ability to learn by example (a large volume of cases) through several iterations without requiring a priori ?xed knowledge of the relationships between process parameters. th This volume is part of the three-volume proceedings of the 20 International Conference on Arti?cial Neural Networks (ICANN 2010) that was held in Th- saloniki, Greece during September 1518, 2010. 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
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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Paperback or Softback. Condition: New. Artificial Neural Networks - ICANN 2010: 20th International Conference, Thessaloniki, Greece, Septmeber 15-18, 2010, Proceedings, Part II. Book.
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Artificial Neural Networks-ICANN 2010 : 20th International Conference, Thessaloniki, Greece, Septmeber 15-18, 2020, Proceedings, Part II
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Artificial Neural Networks-ICANN 2010 : 20th International Conference, Thessaloniki, Greece, Septmeber 15-18, 2020, Proceedings, Part II
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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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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Artificial Neural Networks - Icann 2010: 20th International Conference, Thessaloniki, Greece, Septmeber 15-18, 2020, Proceedings, Part II
Language: English
Published by Springer-Verlag New York Inc, 2010
ISBN 10: 3642158218 ISBN 13: 9783642158216
Paperback. Condition: Brand New. 543 pages. 9.00x6.00x1.25 inches. In Stock.
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Artificial Neural Networks - Icann 2010: 20th International Conference, Thessaloniki, Greece, September 15-18, 2010, Proceedings, Part III
Language: English
Published by Springer-Verlag New York Inc, 2010
ISBN 10: 3642158242 ISBN 13: 9783642158247
Paperback. Condition: Brand New. 2010 edition. 596 pages. 9.50x6.00x1.25 inches. In Stock.
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hardcover. Condition: new.
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Artificial Neural Networks - ICANN 2010
Language: English
Published by Springer Berlin Heidelberg, 2010
ISBN 10: 3642158242 ISBN 13: 9783642158247
Condition: New. Fast track conference proceedingUnique visibilityState-of-the-art researchth This volume is part of the three-volume proceedings of the 20 International Conference on Arti?cial Neural Networks (ICANN 2010) that was held in Th- salon.
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Artificial Neural Networks - ICANN 2010: 20th International Conference, Thessaloniki, Greece, Septmeber 15-18, 2020, Proceedings, Part II (Lecture Notes in Computer Science, 6353)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 87.67
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Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Artificial Neural Networks - ICANN 2010 : 20th International Conference, Thessaloniki, Greece, Septmeber 15-18, 2020, Proceedings, Part II
Language: English
Published by Springer Berlin Heidelberg, 2010
ISBN 10: 3642158218 ISBN 13: 9783642158216
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - th This volume is part of the three-volume proceedings of the 20 International Conference on Arti cial Neural Networks (ICANN 2010) that was held in Th- saloniki, Greece during September 15-18, 2010. ICANN is an annual meeting sponsored by the European Neural Network Society (ENNS) in cooperation with the International Neural Network So- ety (INNS) and the Japanese Neural Network Society (JNNS). This series of conferences has been held annually since 1991 in Europe, covering the eld of neurocomputing, learning systems and other related areas. As in the past 19 events, ICANN 2010 provided a distinguished, lively and interdisciplinary discussion forum for researches and scientists from around the globe. Ito eredagoodchanceto discussthe latestadvancesofresearchandalso all the developments and applications in the area of Arti cial Neural Networks (ANNs). ANNs provide an information processing structure inspired by biolo- cal nervous systems and they consist of a large number of highly interconnected processing elements (neurons). Each neuron is a simple processor with a limited computing capacity typically restricted to a rule for combining input signals (utilizing an activation function) in order to calculate the output one. Output signalsmaybesenttootherunitsalongconnectionsknownasweightsthatexcite or inhibit the signal being communicated. ANNs have the ability 'to learn' by example (a large volume of cases) through several iterations without requiring a priori xed knowledge of the relationships between process parameters.
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Taschenbuch. Condition: Neu. Artificial Neural Networks - ICANN 2010 | 20th International Conference, Thessaloniki, Greece, Septmeber 15-18, 2020, Proceedings, Part II | Konstantinos Diamantaras (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2010 | Springer | EAN 9783642158216 | Verantwortliche Person für die EU: Lauinger, Sonia, Sonia Lauinger, Lauinger Verlag, Heinrich-Köhler-Platz 8, 76187 Karlsruhe, mail[at]lauinger-verlag[dot]de | Anbieter: preigu.
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Condition: As New. Unread book in perfect condition.
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Artificial Neural Networks - Icann 2010 : 20th International Conference, Thessaloniki, Greece, September 15-18, 2010, Proceedings, Part I
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 103.99
£ 15 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New.
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Artificial Neural Networks - ICANN 2010 : 20th International Conference, Thessaloniki, Greece, September 15-18, 2010, Proceedings, Part III
Language: English
Published by Springer, Berlin, Springer, 2010
ISBN 10: 3642158242 ISBN 13: 9783642158247
Taschenbuch. Condition: Neu. Neuware - th This volume is part of the three-volume proceedings of the 20 International Conference on Arti cial Neural Networks (ICANN 2010) that was held in Th- saloniki, Greece during September 15-18, 2010. ICANN is an annual meeting sponsored by the European Neural Network Society (ENNS) in cooperation with the International Neural Network So- ety (INNS) and the Japanese Neural Network Society (JNNS). This series of conferences has been held annually since 1991 in Europe, covering the eld of neurocomputing, learning systems and other related areas. As in the past 19 events, ICANN 2010 provided a distinguished, lively and interdisciplinary discussion forum for researches and scientists from around the globe. Ito eredagoodchanceto discussthe latestadvancesofresearchandalso all the developments and applications in the area of Arti cial Neural Networks (ANNs). ANNs provide an information processing structure inspired by biolo- cal nervous systems and they consist of a large number of highly interconnected processing elements (neurons). Each neuron is a simple processor with a limited computing capacity typically restricted to a rule for combining input signals (utilizing an activation function) in order to calculate the output one. Output signalsmaybesenttootherunitsalongconnectionsknownasweightstha texcite or inhibit the signal being communicated. ANNs have the ability 'to learn' by example (a large volume of cases) through several iterations without requiring a priori xed knowledge of the relationships between process parameters.
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Artificial Neural Networks - Icann 2010 : 20th International Conference, Thessaloniki, Greece, September 15-18, 2010, Proceedings, Part I
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 111.31
£ 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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Condition: Sehr gut. Zustand: Sehr gut | Seiten: 560 | Sprache: Englisch | Produktart: Bücher | th This volume is part of the three-volume proceedings of the 20 International Conference on Arti?cial Neural Networks (ICANN 2010) that was held in Th- saloniki, Greece during September 15¿18, 2010. ICANN is an annual meeting sponsored by the European Neural Network Society (ENNS) in cooperation with the International Neural Network So- ety (INNS) and the Japanese Neural Network Society (JNNS). This series of conferences has been held annually since 1991 in Europe, covering the ?eld of neurocomputing, learning systems and other related areas. As in the past 19 events, ICANN 2010 provided a distinguished, lively and interdisciplinary discussion forum for researches and scientists from around the globe. Ito?eredagoodchanceto discussthe latestadvancesofresearchandalso all the developments and applications in the area of Arti?cial Neural Networks (ANNs). ANNs provide an information processing structure inspired by biolo- cal nervous systems and they consist of a large number of highly interconnected processing elements (neurons). Each neuron is a simple processor with a limited computing capacity typically restricted to a rule for combining input signals (utilizing an activation function) in order to calculate the output one. Output signalsmaybesenttootherunitsalongconnectionsknownasweightsthatexcite or inhibit the signal being communicated. ANNs have the ability ¿to learn¿ by example (a large volume of cases) through several iterations without requiring a priori ?xed knowledge of the relationships between process parameters.
