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OverviewCellular Neural Networks and Analog VLSI brings together in one place important contributions and up-to-date research results in this fast moving area. Cellular Neural Networks and Analog VLSI serves as an excellent reference, providing insight into some of the most challenging research issues in the field. Full Product DetailsAuthor: Leon Chua , Glenn Gulak , Edmund Pierzchala , Ángel Rodríguez-VázquezPublisher: Springer-Verlag New York Inc. Imprint: Springer-Verlag New York Inc. Edition: Softcover reprint of the original 1st ed. 1998 Weight: 0.285kg ISBN: 9781441950307ISBN 10: 1441950303 Pages: 103 Publication Date: 07 December 2010 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand  We will order this item for you from a manufactured on demand supplier. Table of ContentsA 16 × 16 Cellular Neural Network Universal Chip: The First Complete Single-Chip Dynamic Computer Array with Distributed Memory and with Gray-Scale Input-Output.- A 6 × 6 Cells Interconnection-Oriented Programmable Chip for CNN.- Analog VLSI Design Constraints of Programmable Cellular Neural Networks.- Focal-Plane and Multiple Chip VLSI Approaches to CNNs.- Architecture and Design of 1-D Enhanced Cellular Neural Network Processors for Signal Detection.- Analog VLSI Circuits for Competitive Learning Networks.- Design of Neural Networks Based on Wave-Parallel Computing Technique.Reviews'...anyone serious about CNNs should have this book on his or her bookshelf.' International Journal of Electrical Engineering Education, April 2001 '...anyone serious about CNNs should have this book on his or her bookshelf.' International Journal of Electrical Engineering Education, April 2001 Author InformationTab Content 6Author Website:Countries AvailableAll regions |
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