OPTIMIZATION OF NETWORK PARAMETERS AND SEMI-SUPERVISION IN GAUSSIAN ART ARCHITECTURES
In this thesis we extensively experiment with two ART (adaptive resonance theory) architectures called Gaussian ARTMAP (GAM) and Distributed Gaussian ARTMAP (dGAM). Both of these classifiers have been successfully used in the past on a variety of applications. One of our contributions in this thesis...
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| Format: | Dissertation |
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University of Central Florida
2005
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| Online Access: | http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/4129 |