Analog VLSI Neural Networks: A Special Issue of Analog Integrated Circuits and Signal Processing

by Yoshiyasu Takefuji (Editor)

Overview

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.

Product Details

ISBN-13:	9780792392736
Publisher:	Springer US
Publication date:	11/30/1992
Series:	The Springer International Series in Engineering and Computer Science , #191
Edition description:	1993
Pages:	131
Product dimensions:	7.99(w) x 10.00(h) x 0.30(d)

Table of Contents

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.