Cellular Neural Networks and Analog VLSI

Leon Chua, Glenn Gulak, Edmund Pierzchala, Ángel Rodríguez-Vázquez (Herausgeber)

Buch | Softcover

103 Seiten

2010 | Softcover reprint of the original 1st ed. 1998
Springer-Verlag New York Inc.
978-1-4419-5030-7 (ISBN)

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Cellular 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.

A 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.

Zusatzinfo	1 Illustrations, color; 70 Illustrations, black and white
Verlagsort	New York, NY
Sprache	englisch
Maße	178 x 254 mm
Themenwelt	Mathematik / Informatik ► Informatik ► Theorie / Studium
	Naturwissenschaften ► Physik / Astronomie ► Thermodynamik
	Technik ► Elektrotechnik / Energietechnik
ISBN-10	1-4419-5030-3 / 1441950303
ISBN-13	978-1-4419-5030-7 / 9781441950307
Zustand	Neuware