Title

Fuzzy Art Properties

Keywords

Adaptive resonance theory; Clustering; Fuzzy ART; Fuzzy set theory; Learning; Neural network; Pattern recognition

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 a and p on the functionality of the algorithm are clearly illustrated. © 1995.

Publication Date

1-1-1995

Publication Title

Neural Networks

Volume

8

Issue

2

Number of Pages

203-213

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1016/0893-6080(94)00073-U

Socpus ID

0028999196 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/0028999196

This document is currently not available here.

Share

COinS