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) |
|---|---|
| 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) |
|---|---|
| City | Como, Italy |
| Period | 7/24/00 → 7/27/00 |
ASJC Scopus subject areas
- Software
- Artificial Intelligence