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Using Genetic Algorithm in Self-Organizing Map Design

  • Ari Hämäläinen

Abstract

A new method for self-organizing map design is proposed. The method is based on a genetic algorithm. Some simulations are also reported.

Keywords

Genetic Algorithm Reference Vector Neighborhood Function Connection Matrix Voronoi Region 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. [1]
    Lawrence Davis, editor. Genetic Algorithms and Simulated Annealing. Morgan Kaufman Publishers, Inc., 1987.MATHGoogle Scholar
  2. [2]
    Daryl H. Graf and Wilf R. LaLonde. A neural controller for collision-free movement, of general robot manipulators. In IEEE, ICNN-88 San Diego, California, 24.-27.7.1988, volume 1, pages 77–84, 1988.Google Scholar
  3. [3]
    Ari Hämäläinen. A measure of disorder for the self-organizing map. In Proceedings of the 1994 IEEE International Conference on Neural Networks. Walt Disney World Dolphin Hotel, Orlando, Florida. Jane 28–July 2, pages 659–664, 1994.Google Scholar
  4. [4]
    T. Kohonen. Self-Organization and Associative Memory. Springer-Verlag, third edition, 1989.Google Scholar
  5. [5]
    T. Martinetz and K. Schulten. A “neural-gas” network learns topologies. In T. Kohonen, K. Mäkisara, O. Simula, and J. Kangas,Google Scholar
  6. [5]
    editors, Artificial Neural Networks, volume 1, pages 397–402. North-Holland, 1991.Google Scholar
  7. [6]
    Thomas Martinetz. Competitive Hebbian learning rule forms perfectly topology preserving maps. In Stan Gielen and Bert Kappen, editors, ICANN’93. Proceedings of the International Conference on Artificial Neural Networks, pages 427–434, Springer-Verlag, 1993.Google Scholar
  8. [7]
    H. Ritter and T. Kohonen. Self-organizing semantic maps. Biol. Cybern., 61: 241–254, 1989.CrossRefGoogle Scholar
  9. [8]
    Helge J. Ritter, Thomas M. Martinetz, and Klaus J. Schulten. Topology-conserving maps for learning visuo-motor-coordination. Neural Networks, 2: 159–168, 1989.CrossRefGoogle Scholar
  10. [9]
    Hans Ulrich Bauer and Klaus R. Pawelzik. Quantifying the neighborhood preservation of self-organizing feature maps. IEEE Trans, on Neural Networks, NN-3(4): 570–579, July 1992.Google Scholar

Copyright information

© Springer-Verlag/Wien 1995

Authors and Affiliations

  • Ari Hämäläinen
    • 1
  1. 1.Rolf Nevanlinna InstituteUniversity of HelsinkiFinland

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