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Summary: FUZZY ARTMAP WITH FEATURE WEIGHTING
Razvan Andonie
Computer Science Department
Central Washington University, Ellensburg, USA
email: andonie@cwu.edu
Angel Cat¸aron
Department of Electronics and Computers
Transylvania University of Bras¸ov, Romania
email: cataron@vega.unitbv.ro
Lucian Mircea Sasu
Computer Science Department
Transylvania University of Bras¸ov, Romania
email: lmsasu@unitbv.ro
ABSTRACT
We introduce a novel Fuzzy ARTMAP (FAM) architec-
ture: FAM with Feature Weighting (FAMFW). In the first
stage, the features of the training data are weighted. In
the second stage, the obtained weights are used to im-
prove the FAMFW training. The effect of this approach
is a more sensitive FAM category determination: Cate-
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