Takefuji

Analog VLSI Neural Networks

A Special Issue of Analog Integrated Circuits and Signal Processing
Herausgeber: Takefuji, Yoshiyasu

• Gebundenes Buch

Produktbeschreibung

This book brings together in one place important contributions and state-of-the-art research in the rapidly advancing area of analog VLSI neural networks. The book serves as an excellent reference, providing insights into some of the most important issues in analog VLSI neural networks research efforts.

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Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.

Produktdetails

• The Springer International Series in Engineering and Computer Science 191
• Verlag: Springer, Berlin
• 1992
• Seitenzahl: 136
• Erscheinungstermin: 30. November 1992
• Englisch
• Abmessung: 260mm x 183mm x 13mm
• Gewicht: 463g
• ISBN-13: 9780792392736
• ISBN-10: 0792392736
• Artikelnr.: 23412923

Inhaltsangabe

Guest Editorial.
Analog Computational Models of Concept Formation.
An Analog BiCMOS Hopfield Neuron.
Full Analog CMOS Integration of Very Large Time Constants for Synaptic Transfer in Neural Networks.
A Hierarchical Clustering Network Based on a Model of Olfactory Processing.
CMOS Analog/Digital Circuits of the Hysteresis McCulloch
Pitts Neuron for Ramsey Numbers.
Competitive Learning in Asynchronous
Pulse
Density Integrated Circuits.
A Programmable Analog CMOS Synapse for Neural Networks.
Two
Stage Neural Network Architecture for Feedback Control of Dynamic Systems.
Temporal Signal Processing with High
Speed Hybrid Analog
Digital Neural Networks.
A Super Parallel Sorter Using a Binary Neural Network with AND
OR Synaptic Connections.