Title

Putting the utility of Match Tracking in Fuzzy ARTMAP training to the test

Authors

Authors

G. C. Anagnostopoulos;M. Georgiopoulos

Comments

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Keywords

Computer Science, Artificial Intelligence

Abstract

An integral component of Fuzzy ARTMAP's training phase is the use of Match Tracking (MT), whose functionality is to search for an appropriate category that will correctly classify a presented training pattern in case this particular pattern was originally misclassified. In this paper we explain the MT's role in detail, why it actually works and finally we put its usefulness to the test by comparing it to the simpler, faster alternative of not using MT at all during training. Finally, we present a series of experimental results that eventually raise questions about the MT's utility. More specifically, we show that in the absence of MT the resulting, trained FAM networks are of reasonable size and exhibit better generalization performance.

Journal Title

Knowledge-Based Intellignet Information and Engineering Systems, Pt 2, Proceedings

Volume

2774

Publication Date

1-1-2003

Document Type

Article

Language

English

First Page

1

Last Page

6

WOS Identifier

WOS:000186518100001

ISSN

0302-9743; 3-540-40804-5

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