The augmented ART1 neural network

Gregory L. Heileman, Michael Georgiopoulos

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

1 Scopus citations

Abstract

A real-time neural network, AART1 (augmented adaptive resonance theory), that describes the dynamics of the ART1 model is presented. This involves modifying the architecture of the ART1 network through the addition of a reset node and a set of inhibitory nodes in the F2 layer. Along with modifications to the differential equations describing the F1 and F2 layer nodes, these changes embody the functionality of the orienting subsystem in the ART1 model. In addition, the modifications described here allow the ART1 model to be implemented solely using a set of concurrently executing nonlinear differential equations. Thus, the AART1 network requires no external control features. Computer simulation results demonstrate the efficacy of this network.

Original languageEnglish (US)
Title of host publicationProceedings. IJCNN - International Joint Conference on Neural Networks
Editors Anon
PublisherPubl by IEEE
Pages467-472
Number of pages6
ISBN (Print)0780301641
StatePublished - 1992
Externally publishedYes
EventInternational Joint Conference on Neural Networks - IJCNN-91-Seattle - Seattle, WA, USA
Duration: Jul 8 1991Jul 12 1991

Publication series

NameProceedings. IJCNN - International Joint Conference on Neural Networks

Other

OtherInternational Joint Conference on Neural Networks - IJCNN-91-Seattle
CitySeattle, WA, USA
Period7/8/917/12/91

ASJC Scopus subject areas

  • Engineering(all)

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