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.
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© 1997 Springer-Verlag Berlin Heidelberg
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Carpenter, G.A., Wilson, F.D.M. (1997). ARTMAP-DS: pattern discrimination by discounting similarities. In: Gerstner, W., Germond, A., Hasler, M., Nicoud, JD. (eds) Artificial Neural Networks — ICANN'97. ICANN 1997. Lecture Notes in Computer Science, vol 1327. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0020221
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DOI: https://doi.org/10.1007/BFb0020221
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