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Community SOM (CSOM): An Improved Self-Organizing Map Learning Technique

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Abstract

In self-organizing map, the neurons in the 1-neighborhood of winner neuron are called community of winner neurons. The neuron which turns out to be the winner for the least number of times after a specified number of iterations has been named here as the weakest neuron. The neurons which are either the weakest or the farthest in the community of winner neurons are not getting enough exposure, which decreases their learning efficiency a lot. A community self-organizing map has been proposed here, which facilitates the learning of the weakest and farthest neuron in the community of winner neurons using a different process, thereby increasing the overall learning.

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Authors and Affiliations

  1. National Institute of Technology (N.I.T.), Kurukshetra, 136119, India

    Vikas Chaudhary & R. S. Bhatia

  2. Krishna Institute of Engineering & Technology, Ghaziabad, 201206, India

    Anil K. Ahlawat

Authors
  1. Vikas Chaudhary
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  2. R. S. Bhatia
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  3. Anil K. Ahlawat
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Correspondence to Vikas Chaudhary.

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Chaudhary, V., Bhatia, R.S. & Ahlawat, A.K. Community SOM (CSOM): An Improved Self-Organizing Map Learning Technique. Int. J. Fuzzy Syst. 17, 129–132 (2015). https://doi.org/10.1007/s40815-015-0022-7

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  • DOI: https://doi.org/10.1007/s40815-015-0022-7

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