Overview

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

Full Product Details

Author:   Yoshiyasu Takefuji
Publisher:   Springer
Imprint:   Springer
Edition:   Reprinted from 'ANALOG INTEGRATED CIRCUITS AND SIGNAL PROCESSING', 2:4
Volume:   191
Dimensions:   Width: 20.30cm , Height: 0.90cm , Length: 25.40cm
Weight:   0.467kg
ISBN:  

9780792392736

ISBN 10:   0792392736
Pages:   131
Publication Date:   30 November 1992
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of stock  
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

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.

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