Cellular Neural Networks and Analog VLSI (eBook, PDF)

Redaktion: Chua, Leon; Rodríguez-Vázquez, Ángel; Pierzchala, Edmund; Gulak, Glenn

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer US
• Seitenzahl: 103
• Erscheinungstermin: 9. März 2013
• Englisch
• ISBN-13: 9781475747300
• Artikelnr.: 43987824

Inhaltsangabe

Guest Editorial; L.O. Chua, et al. 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; J.M. Cruz, L. Chua. A 6 × 6 Cells Interconnection-Oriented Programmable Chip for CNN: M. Salerno, et al. Analog VLSI Design Constraints of Programmable Cellular Neural Networks; P. Kinget, M. Steyaert. Focal-Plane and Multiple Chip VLSI Approaches to CNNs; M. Anguita, et al. Architecture and Design of 1-D Enhanced Cellular Neural Network Processors for Signal Detection; M.Y. Wang, et al. Analog VLSI Circuits for Competitive Learning Networks; H.C. Card, et al. Design of Neural Networks Based on Wave-Parallel Computing Technique; Y. Yuminaka, et al.

Rezensionen

`...anyone serious about CNNs should have this book on his or her bookshelf.' International Journal of Electrical Engineering Education, April 2001