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International Workshop on Artificial Neural Networks

IWANN 1993: New Trends in Neural Computation pp 255–260Cite as

A simplified ARTMAP architecture for real-time learning

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 686))

Abstract

This paper presents a simplified version of the ARTMAP system, which is based on the Adaptive Resonance Theory (ART). The simplified architecture is designed from ART 1 with Quasi-supervision and ARTMAP, being classified as a Predictive ART architecture.

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Author information

Authors and Affiliations

  1. CPGCC - Institute de Informática, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil

    Alex Guazzelli & Dante Barone

  2. Departamento de Informática, Universidade Federal de Pernambuco, Recife, Brazil

    E. C. de B. Carvalho Filho

Authors
  1. Alex Guazzelli
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  2. Dante Barone
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  3. E. C. de B. Carvalho Filho
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Editor information

José Mira Joan Cabestany Alberto Prieto

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© 1993 Springer-Verlag Berlin Heidelberg

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Guazzelli, A., Barone, D., Carvalho Filho, E.C.d.B. (1993). A simplified ARTMAP architecture for real-time learning. In: Mira, J., Cabestany, J., Prieto, A. (eds) New Trends in Neural Computation. IWANN 1993. Lecture Notes in Computer Science, vol 686. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-56798-4_156

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  • DOI: https://doi.org/10.1007/3-540-56798-4_156

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-56798-1

  • Online ISBN: 978-3-540-47741-9

  • eBook Packages: Springer Book Archive

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