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

    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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