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An Improved Adaptive Self-Organizing Map

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Challenging Problems and Solutions in Intelligent Systems

Part of the book series: Studies in Computational Intelligence ((SCI,volume 634))

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Abstract

We propose a novel adaptive Self-Organizing Map (SOM). In the introduced approach, the SOM neurons’ neighborhood widths are computed adaptively using the information about the frequencies of occurrences of input patterns in the input space. The neighborhood widths are determined independently for each neuron in the SOM grid. In this way, the proposed SOM properly visualizes the input data, especially, when there are significant differences in frequencies of occurrences of input patterns. The experimental study on real data, on three different datasets, verifies and confirms the effectiveness of the proposed adaptive SOM.

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Acknowledgments

This contribution is supported by the Foundation for Polish Science under International PhD Projects in Intelligent Computing. Project financed from The European Union within the Innovative Economy Operational Programme 2007–2013 and European Regional Development Fund.

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Authors and Affiliations

  1. Faculty of Electrical Engineering, Warsaw University of Technology, Warsaw, Poland

    Dominik Olszewski

  2. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk & Sławomir Zadrożny

Authors
  1. Dominik Olszewski
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  2. Janusz Kacprzyk
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  3. Sławomir Zadrożny
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Corresponding author

Correspondence to Dominik Olszewski .

Editor information

Editors and Affiliations

  1. Dept. of Telecommunication & Inform proc, Ghent University, Gent, Belgium

    Guy de Trė

  2. Faculty of Maths and Information Science, Warsaw University of Technology, Warszawa, Poland

    Przemysław Grzegorzewski

  3. Polish Academy of Sciences, Systems Research Institute, Warszawa, Poland

    Janusz Kacprzyk

  4. Polish Academy of Sciences, Systems Research Institute, Warszawa, Poland

    Jan W. Owsiński

  5. Polish Academy of Sciences, Institute of Computer Science, Warszawa, Poland

    Wojciech Penczek

  6. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Sławomir Zadrożny

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Olszewski, D., Kacprzyk, J., Zadrożny, S. (2016). An Improved Adaptive Self-Organizing Map. In: Trė, G., Grzegorzewski, P., Kacprzyk, J., Owsiński, J., Penczek, W., Zadrożny, S. (eds) Challenging Problems and Solutions in Intelligent Systems. Studies in Computational Intelligence, vol 634. Springer, Cham. https://doi.org/10.1007/978-3-319-30165-5_5

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  • DOI: https://doi.org/10.1007/978-3-319-30165-5_5

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  • Online ISBN: 978-3-319-30165-5

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