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.
Rezensionen / Stimmen
`...anyone serious about CNNs should have this book on his or her bookshelf.'
International Journal of Electrical Engineering Education, April 2001
Auflage
Reprinted from ANALOG INTEGRATED CIRCUITS AND SIGNAL PROCESSING, 15:3, 1998
Sprache
Verlagsort
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Illustrationen
70
1 farbige Abbildung, 70 s/w Abbildungen
IV, 103 p. 71 illus., 1 illus. in color.
Maße
Höhe: 260 mm
Breite: 183 mm
Dicke: 12 mm
Gewicht
ISBN-13
978-0-7923-8125-9 (9780792381259)
DOI
10.1007/978-1-4757-4730-0
Schweitzer Klassifikation
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.
