Title

Properties of learning in fuzzy ART

Abstract

This paper presents some important properties of the Fuzzy ART neural network algorithm. 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 effect of the Fuzzy ART parameters α and ρ on the functionality of the algorithm is clearly illustrated.

Publication Date

12-1-1994

Publication Title

IEEE International Conference on Neural Networks - Conference Proceedings

Volume

2

Number of Pages

756-761

Document Type

Article; Proceedings Paper

Identifier

scopus

Personal Identifier

scopus

Socpus ID

0028752258 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/0028752258

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