The analysis of the augmented ART1 neural network

Michael Georgiopoulos, Gregory L. Heileman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

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.

Original languageEnglish (US)
Title of host publication91 IEEE Int Jt Conf Neural Networks IJCNN 91
PublisherPubl by IEEE
Pages2658-2663
Number of pages6
ISBN (Print)0780302273
StatePublished - 1991
Externally publishedYes
Event1991 IEEE International Joint Conference on Neural Networks - IJCNN '91 - Singapore, Singapore
Duration: Nov 18 1991Nov 21 1991

Publication series

Name91 IEEE Int Jt Conf Neural Networks IJCNN 91

Other

Other1991 IEEE International Joint Conference on Neural Networks - IJCNN '91
CitySingapore, Singapore
Period11/18/9111/21/91

ASJC Scopus subject areas

  • Engineering(all)

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