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VLSI for Neural Networks and Artificial Intelligence
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VLSI for Artificial Intelligence and Neural Networks
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Hardcover. Condition: Très bon. Ancien livre de bibliothèque. Edition 1992. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Edition 1992. Ammareal gives back up to 15% of this item's net price to charity organizations.
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VLSI for Artificial Intelligence and Neural Networks
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Vlsi for Artificial Intelligence and Neural Networks
Published by Springer-Verlag New York Inc, 2012
ISBN 10: 1461366712 ISBN 13: 9781461366713
Language: English
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Add to basketPaperback. Condition: Brand New. 412 pages. 9.50x6.50x1.00 inches. In Stock.
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VLSI for Artificial Intelligence and Neural Networks
Published by Springer, Chapman And Hall/CRC, 2012
ISBN 10: 1461366712 ISBN 13: 9781461366713
Language: English
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is an edited selection of the papers presented at the International Workshop on VLSI for Artifidal Intelligence and Neural Networks which was held at the University of Oxford in September 1990. Our thanks go to all the contributors and especially to the programme committee for all their hard work. Thanks are also due to the ACM-SIGARCH, the IEEE Computer Society, and the lEE for publicizing the event and to the University of Oxford and SUNY-Binghamton for their active support. We are particularly grateful to Anna Morris, Maureen Doherty and Laura Duffy for coping with the administrative problems. Jose Delgado-Frias Will Moore April 1991 vii PROLOGUE Artificial intelligence and neural network algorithms/computing have increased in complexity as well as in the number of applications. This in tum has posed a tremendous need for a larger computational power than can be provided by conventional scalar processors which are oriented towards numeric and data manipulations. Due to the artificial intelligence requirements (symbolic manipulation, knowledge representation, non-deterministic computations and dynamic resource allocation) and neural network computing approach (non-programming and learning), a different set of constraints and demands are imposed on the computer architectures for these applications.
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VLSI ? Compatible Implementations for Artificial Neural Networks (The Springer International Series in Engineering and Computer Science)
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VLSI ? Compatible Implementations for Artificial Neural Networks (The Springer International Series in Engineering and Computer Science, 382)
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Vlsi-Compatible Implementations for Artificial Neural Networks
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Add to basketCondition: New. pp. 228 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam.
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Add to basketGebunden. Condition: New. Architecture and Hardware Support for AI Processing: VLSI Design of a 3D Highly Parallel MessagePassing Architecture (J.L. Bechennec et al.). Architectural Design of the Rewrite Rule Machine Ensemble (H. Aida et al.). A Dataflow Architecture for AI (J. Delg.
