Title
The Analysis Of The Augmented Art1 Neural Network
Abstract
The dynamics of the augmented ART1 neural network (AART1-NN) introduced by L. Heileman and M. Georgiopoulos (1991) are described by a set of nonlinear differential equations that facilitate the real-time implementation of the ART1 neural network. The AART1-NN equations are summarized. It is shown that under certain parameter constraints the AART1 model behaves in the same manner as the ART1 model. Since the AART1 model is an extension of the ART1 model, this analysis proves the inherent capability of the ART1-NN to operate in a totally unsupervised manner.
Publication Date
12-1-1991
Number of Pages
2658-2663
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
Copyright Status
Unknown
Socpus ID
0026284576 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/0026284576
STARS Citation
Georgiopoulos, Michael and Heileman, Gregory L., "The Analysis Of The Augmented Art1 Neural Network" (1991). Scopus Export 1990s. 1206.
https://stars.library.ucf.edu/scopus1990/1206