Abstract
We present a modification to the Fuzzy ARTMAP neural network architecture for conducting classification in a probabilistic setting. We call this new architecture Hierarchical ARTMAP (HARTMAP). Performance comparisons with Fuzzy ARTMAP, Gaussian ARTMAP and Boosted ARTMAP on some simple two-class problems are discussed. Experimental results indicate that HARTMAP yields better generalization results on problems involving overlap of the underlying pattern distributions.
Original language | English (US) |
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Pages | 41-46 |
Number of pages | 6 |
State | Published - 2000 |
Externally published | Yes |
Event | International Joint Conference on Neural Networks (IJCNN'2000) - Como, Italy Duration: Jul 24 2000 → Jul 27 2000 |
Conference
Conference | International Joint Conference on Neural Networks (IJCNN'2000) |
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City | Como, Italy |
Period | 7/24/00 → 7/27/00 |
ASJC Scopus subject areas
- Software
- Artificial Intelligence