Modular network SOM: theory, algorithm and applications

  • Authors:
  • Kazuhiro Tokunaga;Tetsuo Furukawa

  • Affiliations:
  • Kyushu Institute of Technology, Kitakyushu, Japan;Kyushu Institute of Technology, Kitakyushu, Japan

  • Venue:
  • ICONIP'06 Proceedings of the 13 international conference on Neural Information Processing - Volume Part I
  • Year:
  • 2006

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Abstract

The modular network SOM (mnSOM) proposed by authors is an extension and generalization of a conventional SOM in which each nodal unit is replaced by a module such as a neural network. It is expected that the mnSOM will extend the area of applications beyond that of a conventional SOM. We set out to establish the theory and algorithm of a mnSOM, and to apply it to several research topics, to create a fundamental technology that is generally usable only in expensive studies. In this paper, the theory and the algorithm of the mnSOM are reported; moreover, the results of applications of the mnSOM are presented.