Improved adaptive resonance theory

Document Type

Conference Proceeding

Publication Date

1-1-1991

Abstract

Adaptive resonance theory (ART) has been used to develop neural network architectures in order to self-organize pattern recognition codes stably in real-time in response to random input sequences of patterns. A brief background of the motivations and design considerations underlying the development of adaptive resonance networks, an outline of their basic operation, a new idea for improving the model, and some experimental results are discussed in this article.

Identifier

0025808324 (Scopus)

Publication Title

Proceedings of SPIE the International Society for Optical Engineering

ISSN

0277786X

First Page

26

Last Page

36

Volume

1382

This document is currently not available here.

Share

COinS