Skip to main content
SpringerLink
Log in

A simplified ARTMAP architecture for real-time learning

  • Conference paper
  • First Online:
Book cover New Trends in Neural Computation (IWANN 1993)

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

Included in the following conference series:

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. CARPENTER, G. A., & GROSSBERG, S. A massively parallel architecture for a self-organizing neural pattern recognition machine. Computer Vision, Graphics and Image Processing, 37, 54–115, 1987.

    Google Scholar 

  2. CARPENTER, G. A., & GROSSBERG, S., ART 2: Self-organization of stable category recognition codes for analog input patterns. Applied Optics, 26, 4919–4930, 1987.

    Google Scholar 

  3. CARPENTER, G. A., & GROSSBERG, S., ART 3: Hierarchical search using chemical transmitters in self-organizing pattern recognition architectures. Neural Networks, 3, 129–152, 1990.

    Google Scholar 

  4. CARPENTER, G. A., GROSSBERG, S., & ROSEN, D. B., Fuzzy ART: Fast stable learning and categorization of analog patterns by adaptive resonance system. Neural Networks, 4, 759–771, 1991.

    Google Scholar 

  5. CARPENTER, G. A., GROSSBERG, S., & REYNOLDS, J. H., ARTMAP: Supervised realtime learning classification of nonstationary data by a self-organizing neural network. Neural Networks, 4, 565–588, 1991.

    Google Scholar 

  6. CARPENTER, G. A., GROSSBERG, S., & IIZUKA, K., Comparative performance measures of Fuzzy ARTMAP, Learned Vector Quantization, and Back Propagation for handwritten character recognition. Proceedings of the International Joint Conference on Neural Networks (pp. I 794–799). Baltimore, 1992.

    Google Scholar 

  7. GROSSBERG, S., Adaptive pattern classification and universal recoding, II. Feedback, expectation, olfaction, and illusions. Biological Cybernetics, 23, 187–202, 1976.

    Google Scholar 

  8. GROSSBERG, S., Competitive learning: from interactive activation to adaptive resonance. Cognitive Science, 11, 23–63, 1987.

    Google Scholar 

  9. GUAZZELLI, A., Fundamentação de modelos de redes neurais e seus métodos de aplicação no reconhecimento de caracteres. In Instituto de Informática, UFRGS, 1991.

    Google Scholar 

  10. RUMELHART, D. E., McCLELLAND, J. L., Parallel Distributed Processing. Volume 1: Foundations, Cambridge, MA:MIT Press, 1986.

    Google Scholar 

Download references

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
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Dante Barone
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. E. C. de B. Carvalho Filho
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

José Mira Joan Cabestany Alberto Prieto

Rights and permissions

Reprints and permissions

Copyright information

© 1993 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

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

Download citation

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

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-56798-1

  • Online ISBN: 978-3-540-47741-9

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation