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On the Convergence Properties of the Temporal Kohonen Map and the Recurrent Self-Organizing Map

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ICANN 98 (ICANN 1998)

Part of the book series: Perspectives in Neural Computing ((PERSPECT.NEURAL))

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Abstract

This paper compares two Self-Organizing Map (SOM) based approaches for temporal sequence processing: The Recurrent Self-Organizing Map (RSOM) and Temporal Kohonen Map (TKM). The convergence properties of these algorithms are studied, and their difference in learning is emphasized both theoretically and with simulations. The results show that RSOM is superior over TKM.

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References

  1. M. Varsta, J. Heikkonen, and J. del Ruiz Millán. A recurrent self-organizing map for temporal sequence processing. In Proceedings of the ICANN’97. Springer-Verlag Berlin Heidelberg New York, October 1997. ISBN 3-540-63631-5.

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  2. M. Varsta, J. Heikkonen, and J. del R. Millán. Context learning with the self organizing map. In Proceedings of WSOM’97, Workshop on Self-Organizing Maps, Espoo, Finland, June 4–6, pages 197–202. Helsinki University of Technology, Neural Networks Research Centre, Espoo, Finland, 1997. ISBN 951-22-3589-7.

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  3. G.J. Chappell and J.G. Taylor. The temporal Kohonen map. Neural Networks, 6:441–445, 1993.

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  4. T. Kohonen. Self-Organizing Maps, volume 30 of Lecture Notes in Inform. Sciences. Springer, second edition, 1997.

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  5. M. Cottrell. Theoretical aspects of the som algorithm. In Proceedings of WSOM’97, Workshop on S elf-Organizing Maps, Espoo, Finland, June 4–6, pages 246–267. Helsinki University of Technology, Neural Networks Research Centre, Espoo, Finland, 1997.

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Author information

Authors and Affiliations

  1. Helsinki University of Technology, Finland

    Markus Varsta, Jukka Heikkonen & Jouko Lampinen

  2. Institute for Systems Informatics and Safety, European Commission, Joint Research Centre, Italy

    Jośe del R. Millán

Authors
  1. Markus Varsta
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  2. Jukka Heikkonen
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  3. Jouko Lampinen
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  4. Jośe del R. Millán
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Skövde, PO Box 408, 54128, Skövde, Sweden

    Lars Niklasson PhD , Mikael Bodén PhD  & Tom Ziemke MSc ,  & 

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© 1998 Springer-Verlag London

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Cite this paper

Varsta, M., Heikkonen, J., Lampinen, J., Millán, J.d.R. (1998). On the Convergence Properties of the Temporal Kohonen Map and the Recurrent Self-Organizing Map. In: Niklasson, L., Bodén, M., Ziemke, T. (eds) ICANN 98. ICANN 1998. Perspectives in Neural Computing. Springer, London. https://doi.org/10.1007/978-1-4471-1599-1_105

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  • DOI: https://doi.org/10.1007/978-1-4471-1599-1_105

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  • Publisher Name: Springer, London

  • Print ISBN: 978-3-540-76263-8

  • Online ISBN: 978-1-4471-1599-1

  • eBook Packages: Springer Book Archive

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