Title
A Mixed Analog/Digital Vlsi Design And Simulation Of An Adaptive Resonance Theory (Art) Neural Network Architecture
Keywords
AART1-NN; adaptive resonance theory (ART); analog digital design; neural networks; VLSI
Abstract
This paper presents a mixed analog/digital circuit design and simulation for an architecture called the augmented adaptive resonance theory-1 neural network (AART1-NN). The circuit is implemented based on the transconductance-mode approach and mixed analog/digital components, in which analog circuits are used to fully incorporate the parallel mechanism of the neural network, whereas digital circuits are used to provide a reduced circuit size as well as more precise multiplication operation. The AART1-NN circuit implemented is simulated using Pspice, and the results are in good agreement with those calculated numerically from the coupled nonlinear differential equations governing the AART1-NN. © 1996, Sage Publications. All rights reserved.
Publication Date
1-1-1996
Publication Title
Simulation
Volume
66
Issue
1
Number of Pages
31-39
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1177/003754979606600104
Copyright Status
Unknown
Socpus ID
0029733344 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/0029733344
STARS Citation
Ho, C. S.; Liou, J. J.; and Georgiopoulos, M., "A Mixed Analog/Digital Vlsi Design And Simulation Of An Adaptive Resonance Theory (Art) Neural Network Architecture" (1996). Scopus Export 1990s. 2376.
https://stars.library.ucf.edu/scopus1990/2376