Title
Digital Vlsi Circuit Design And Simulation Of An Adaptive Resonance Theory Neural Network
Abstract
A digital VLSI circuit design for an adaptive resonance theory (ART) neural network architecture, called the augmented ART-1 neural network (AARTI-NN) is presented. An ‘axon-synapse-tree’ structure is used to realize the activities of the short-term memories and reset subsystem. The long-term memory traces are implemented using NMOS transmission gales. PSpice circuit simulation was carried out to verify the design of a prototype, seven-node AARTI-NN. A clock-controlled delay element is included in the simulation to illustrate the functionality of the AARTI-NN. It is shown that the AARTI-NN node selection activities simulated from the circuit designed are identical to those described by the coupled differential equations governing the AARTI-NN. © 1995 Taylor & Francis Ltd.
Publication Date
1-1-1995
Publication Title
International Journal of Electronics
Volume
79
Issue
2
Number of Pages
151-162
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1080/00207219508926257
Copyright Status
Unknown
Socpus ID
0029354645 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/0029354645
STARS Citation
Ho, C. S. and Llou, J. J., "Digital Vlsi Circuit Design And Simulation Of An Adaptive Resonance Theory Neural Network" (1995). Scopus Export 1990s. 1825.
https://stars.library.ucf.edu/scopus1990/1825