Title :
Hierarchical ARTMAP
Author :
Verzi, Stephen J. ; Heileman, Gregory L. ; Georgiopoulos, Michael ; Healy, Michael J.
Author_Institution :
Dept. of Comput. Sci., New Mexico Univ., Albuquerque, NM, USA
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
Keywords :
ART neural nets; neural net architecture; pattern classification; performance evaluation; HARTMAP; Hierarchical ARTMAP; generalization; neural network architecture; pattern distributions; performance comparisons; Computer architecture; Frequency estimation; Fuzzy logic; Fuzzy neural networks; Fuzzy sets; Machine learning algorithms; Neural networks; Subspace constraints; Supervised learning; Training data;
Conference_Titel :
Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on
Conference_Location :
Como
Print_ISBN :
0-7695-0619-4
DOI :
10.1109/IJCNN.2000.859370
