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Variable-Sized Kohonen Feature Map Probabilistic Associative Memory

  • Hiroki Sato
  • Yuko Osana
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7553)

Abstract

In this paper, we propose a Variable-sized Kohonen Feature Map Probabilistic Associative Memory (VKFMPAM). The proposed model can realize the probabilistic association for the training set including one-to-many relations, and neurons can be added in the Map Layer if necessary. We carried out a series of computer experiments and confirmed the effectiveness of the proposed model.

Keywords

Self-Organizing Map (Kohonen Feature Map) Probabilistic Association Successive Learning One-to-Many Associations 

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References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Hiroki Sato
    • 1
  • Yuko Osana
    • 1
  1. 1.Tokyo University of TechnologyHachiojiJapan

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