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ARTMAP-DS: pattern discrimination by discounting similarities

  • Part IV:Signal Processing: Blind Source Separation, Vector Quantization, and Self Organization
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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1327))

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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References

  • Carpenter, G. A., Grossberg, S., Markuzon, N., Reynolds, J. H., & Rosen, D. B. (1992). Fuzzy ARTMAP: A neural network architecture for incremental supervised learning of analog multidimensional maps. IEEE Transactions on Neural Networks, 3,698–713.

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  • Carpenter, G. A., & Wilson, F. D. M. (1997). Segmentation-ART: A neural network for word recognition from continuous speech. In preparation.

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Wulfram Gerstner Alain Germond Martin Hasler Jean-Daniel Nicoud

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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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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63631-1

  • Online ISBN: 978-3-540-69620-9

  • eBook Packages: Springer Book Archive

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