Cellular Neural Networks and Analog VLSI
Editat de Leon Chua, Glenn Gulak, Edmund Pierzchala, Ángel Rodríguez-Vázquezen Limba Engleză Hardback – 28 feb 1998
Cellular Neural Networks and Analog VLSI serves as an excellent reference, providing insight into some of the most challenging research issues in the field.
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Specificații
ISBN-13: 9780792381259
ISBN-10: 0792381254
Pagini: 103
Ilustrații: IV, 103 p. 71 illus., 1 illus. in color.
Dimensiuni: 178 x 254 x 8 mm
Greutate: 0.41 kg
Ediția:Reprinted from ANALOG INTEGRATED CIRCUITS AND SIGNAL PROCESSING, 15:3, 1998
Editura: Springer Us
Colecția Springer
Locul publicării:New York, NY, United States
ISBN-10: 0792381254
Pagini: 103
Ilustrații: IV, 103 p. 71 illus., 1 illus. in color.
Dimensiuni: 178 x 254 x 8 mm
Greutate: 0.41 kg
Ediția:Reprinted from ANALOG INTEGRATED CIRCUITS AND SIGNAL PROCESSING, 15:3, 1998
Editura: Springer Us
Colecția Springer
Locul publicării:New York, NY, United States
Public țintă
ResearchCuprins
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.
Recenzii
`...anyone serious about CNNs should have this book on his or her bookshelf.'
International Journal of Electrical Engineering Education, April 2001
International Journal of Electrical Engineering Education, April 2001