Cellular Neural Networks and Analog VLSI

Softcover Nachdruck of the original 1. Auflage 1998
ISBN: 978-1-4419-5030-7
Verlag: Springer

Buch, Englisch, 103 Seiten, Previously published in hardcover, Format (B × H): 178 mm x 254 mm, Gewicht: 221 g

brings together in one place important contributions and up-to-date research results in this fast moving area.
serves as an excellent reference, providing insight into some of the most challenging research issues in the field.

Zielgruppe

Research

Autoren/Hrsg.

Chua, Leon

Gulak, Glenn

Pierzchala, Edmund

Rodríguez-Vázquez, Ángel

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Neuronale Netzwerke
• Mathematik | Informatik EDV | Informatik Informatik Berechenbarkeitstheorie, Komplexitätstheorie
• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik

Inhaltsverzeichnis

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.