DocumentCode
1680323
Title
Reducing generalization error and category proliferation in ellipsoid ARTMAP via tunable misclassification error tolerance: boosted ellipsoid ARTMAP
Author
Anagnostopoulos, Georgios C. ; Georgiopoulos, Michael ; Verzi, Stephen J. ; Heileman, Gregory L.
Author_Institution
Univ. of Central Florida, Orlando, FL, USA
Volume
3
fYear
2002
fDate
6/24/1905 12:00:00 AM
Firstpage
2650
Lastpage
2655
Abstract
In this paper we introduce boosted ellipsoid ARTMAP (bEAM), a variant of ellipsoid ARTMAP, which via a tunable misclassification error tolerance increases the network´s resubstitution error and implicitly performs structural risk minimization. bEAM constitutes another example of how modifications to fuzzy ARTMAP can be naturally extended to ellipsoid ARTMAP
Keywords
ART neural nets; fuzzy neural nets; generalisation (artificial intelligence); minimisation; bEAM; boosted ellipsoid ARTMAP; category proliferation reduction; ellipsoid ARTMAP; fuzzy ARTMAP; generalization error reduction; resubstitution error; structural risk minimization; tunable misclassification error tolerance; Ellipsoids; Fuzzy logic; Geometry; Neural networks; Resonance; Risk management; Size measurement; Subspace constraints; Testing; Training data;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
Conference_Location
Honolulu, HI
ISSN
1098-7576
Print_ISBN
0-7803-7278-6
Type
conf
DOI
10.1109/IJCNN.2002.1007562
Filename
1007562
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