ARTMAP-DS: Pattern discrimination by discounting similarities

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,

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