Title
Putting the utility of Match Tracking in Fuzzy ARTMAP training to the test
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
ISSN
0302-9743; 3-540-40804-5
Recommended Citation
"Putting the utility of Match Tracking in Fuzzy ARTMAP training to the test" (2003). Faculty Bibliography 2000s. 3594.
https://stars.library.ucf.edu/facultybib2000/3594
Comments
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