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Convergence Rate in Intelligent Self-organizing Feature Map Using Dynamic Gaussian Function

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4252))

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Abstract

The existing self-organizing feature map has weak points when it trains. It needs too many input patterns, and a learning time is increased to handle them. In this paper, we propose a method improving the convergence speed and the convergence rate of the intelligent self-organizing feature map by adapting Dynamic Gaussian Function instead of using a Neighbor Interaction Set whose learning rate is steady during the training of the self-organizing feature map.

This work was supported by a grand No.R12-2003-004-02003-0 from Korea Ministry of Commerce Industry and Energy.

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Author information

Authors and Affiliations

  1. Department of Computer Eng., Hannam University, 133 O-Jung Dong, DaeJeon, South Korea

    Geuk Lee

  2. Department of Multimedia., Hannam University, 133 O-Jung Dong, DaeJeon, South Korea

    Seoksoo Kim

  3. Security Engineering Research Group, DaeJeon, South Korea

    Tai Hoon Kim

  4. Dept. of Medical Inform., Mun Kyung College, HoGyeMyun, Mun Kyung, South Korea

    Min Wook Kil

Authors
  1. Geuk Lee
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  2. Seoksoo Kim
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  3. Tai Hoon Kim
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  4. Min Wook Kil
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Editor information

Editors and Affiliations

  1. School of Design, Engineering and Computing, Bournemouth University, UK

    Bogdan Gabrys

  2. Centre for SMART Systems, School of Environment and Technology, University of Brighton, BN2 4GJ, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, SA, 5095, Mawson Lakes, Australia

    Lakhmi C. Jain

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© 2006 Springer-Verlag Berlin Heidelberg

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Lee, G., Kim, S., Kim, T.H., Kil, M.W. (2006). Convergence Rate in Intelligent Self-organizing Feature Map Using Dynamic Gaussian Function. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2006. Lecture Notes in Computer Science(), vol 4252. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11893004_90

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  • DOI: https://doi.org/10.1007/11893004_90

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-46537-9

  • Online ISBN: 978-3-540-46539-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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