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Modular Network SOM: Theory, Algorithm and Applications

  • Kazuhiro Tokunaga
  • Tetsuo Furukawa
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4232)

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.

Keywords

Recurrent Neural Network Unsupervised Learning Modular Network Fundamental Technology Kyushu Institute 
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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    Furukawa, T., Tokunaga, K., Morishita, K., Yasui, S.: Modular network SOM(mnSOM): From vector space to function space. In: Proc. of International Joint Conference on Neural Networks, pp. 1581–1586 (2005)Google Scholar
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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Kazuhiro Tokunaga
    • 1
  • Tetsuo Furukawa
    • 1
  1. 1.Kyushu Institute of TechnologyKitakyushuJapan

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