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Application of fuzzy neural networks for the data clusterization problem

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Abstract

The fuzzy neural network for pattern clusterization is described. The network training is based on c-means algorithm. An original methodology for the statistical interpretation of result of c-means clusterization is proposed. As an example, the clusterization of vessel hull tenzo measurements on the arctic route. An approach to preprocessing of the raw measurements for the further usage by means of the described methods is discussed.

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Authors and Affiliations

  1. Department of Applied Mathematics, St. Petersburg State Marine Technical University, ul. Lotsmanskaya 3, St. Petersburg, Russia

    P. N. Zvyagin

  2. Department of High Mathematics, St. Petersburg Polytechnic University, ul. Polytekhnicheskaya 29, St. Petersburg, Russia

    P. N. Zvyagin

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  1. P. N. Zvyagin
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The text was submitted by the author in English.

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Zvyagin, P.N. Application of fuzzy neural networks for the data clusterization problem. Opt. Mem. Neural Networks 16, 104–110 (2007). https://doi.org/10.3103/S1060992X07020075

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  • DOI: https://doi.org/10.3103/S1060992X07020075

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