Title

Order Of Search In Fuzzy Art And Fuzzy Artmap: Effect Of The Choice Parameter

Authors

Authors

M. Georgiopoulos; H. Fernlund; G. Bebis;G. L. Heileman

Comments

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Abbreviated Journal Title

Neural Netw.

Keywords

Neural Network; Clustering; Classification; Learning; Adaptive Resonance; Theory; Fuzzy Art; Fuzzy Artmap; Neural Network; Architecture; Classification; Patterns; Computer Science, Artificial Intelligence

Abstract

This paper focuses on two ART architectures, the Fuzzy ART and the Fuzzy ARTMAP. Fuzzy ART is a pattern clustering machine, while Fuzzy ARTMAP is a pattern classification machine. Our study concentrates on the order according to which categories in Fuzzy ART, or the ART(a) model of Fuzzy ARTMAP are chosen. Our work provides a geometrical, and clearer understanding of why, and in what order, these categories are chosen for various ranges of the choice parameter of the Fuzzy ART module. This understanding serves as a powerful tool in developing properties of learning pertaining to these neural network architectures; to strengthen this argument, it is worth mentioning that the order according to which categories are chosen in ART 1 and ARTMAP provided a valuable tool in proving important properties about these architectures. Copyright (C) 1996 Elsevier Science Ltd.

Journal Title

Neural Networks

Volume

9

Issue/Number

9

Publication Date

1-1-1996

Document Type

Article

Language

English

First Page

1541

Last Page

1559

WOS Identifier

WOS:A1996WA73500006

ISSN

0893-6080

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