Browse Bar: Browse by Author | Browse by Category | Browse by Citation | Advanced Search
Author(s): Carpenter, G.A. | Wilson, F.D.M. |
Year: 1997
Citation: In W. Gerstner, A. Germond, M. Hasler, & J.-D. Nicoud (Eds.), Proceedings of the International Conference on Artificial Neural Networks (ICANN 97), Berlin: Springer-Verlag, 607-612.
Abstract: ARTMAP-DS extends fuzzy ARTMAP to discriminate between similar inputs by discounting similarities. When two or more candidate category representations are activated by a given input, features that the candidate representations have in common are ignored prior to determining the winning category. Simulations illustrate the network s ability to recognize similar inputs, such as STAR and START, in a noisy environment.
Topics:
Machine Learning,
Speech and Hearing,
Models:
Fuzzy ARTMAP,
Modified ART,
