Title

Order of search in Fuzzy ART and Fuzzy ARTMAP: Effect of the choice parameter

Keywords

adaptive resonance theory; classification; clustering; Fuzzy ART; Fuzzy ARTMAP; learning; neural network

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 mentaining 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.

Publication Date

12-1-1996

Publication Title

Neural Networks

Volume

9

Issue

9

Number of Pages

1541-1559

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1016/S0893-6080(96)00018-4

Socpus ID

0030462723 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/0030462723

This document is currently not available here.

Share

COinS