Analog VLSI Neural Networks
A Special Issue of Analog Integrated Circuits and Signal Processing
Published on 16. November 2012
Book
Paperback/Softback
IV, 131 pages
978-1-4613-6592-1 (ISBN)
Description
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.
The book serves as an excellent reference, providing insights into some of the most important issues in analog VLSI neural networks research efforts.
More details
Series
Edition
Softcover reprint of the original 1st ed. 1993
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Research
Illustrations
IV, 131 p.
Dimensions
Height: 260 mm
Width: 195 mm
Thickness: 8 mm
Weight
304 gr
ISBN-13
978-1-4613-6592-1 (9781461365921)
DOI
10.1007/978-1-4615-3582-9
Schweitzer Classification
Other editions
Additional editions
Yoshiyasu Takefuji
Analog VLSI Neural Networks
A Special Issue of Analog Integrated Circuits and Signal Processing
E-Book
12/2012
Springer
€149.79
Available for download
Yoshiyasu Takefuji
Analog VLSI Neural Networks
A Special Issue of Analog Integrated Circuits and Signal Processing
Book
11/1992
Kluwer Academic Publishers
€160.49
Shipment within 15-20 days
Content
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.