Title

Fuzzy Art Properties

Authors

Authors

J. X. Huang; M. Georgiopoulos;G. L. Heileman

Comments

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Abbreviated Journal Title

Neural Netw.

Keywords

NEURAL NETWORK; PATTERN RECOGNITION; CLUSTERING; LEARNING; ADAPTIVE; RESONANCE THEORY; FUZZY SET THEORY; FUZZY ART; CLASSIFICATION; Computer Science, Artificial Intelligence

Abstract

This paper presents some important properties of the Fuzzy ART neural network algorithm introduced by Carpenter, Grossberg, and Rosen. The properties described in the paper are distinguished into a number of categories. These include template, access, and reset properties, as well as properties related to the number of list presentations needed for weight stabilization. These properties provide numerous insights as to how Fuzzy ART operates. Furthermore, the effects of the Fuzzy ART parameters alpha and rho on the functionality of the algorithm are clearly illustrated.

Journal Title

Neural Networks

Volume

8

Issue/Number

2

Publication Date

1-1-1995

Document Type

Article

DOI Link

http://dx.doi.org/10.1016/0893-6080(94)00073-u

Language

English

First Page

203

Last Page

213

WOS Identifier

WOS:A1995QN84400003

ISSN

0893-6080

Recommended Citation

"Fuzzy Art Properties" (1995). Faculty Bibliography 1990s. 1366.
https://stars.library.ucf.edu/facultybib1990/1366