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Self-Organizing Feature Maps

  • Teuvo Kohonen
Part of the Springer Series in Information Sciences book series (SSINF, volume 8)

Abstract

A property which is commonplace in the brain but which has always been ignored in the “learning machines” is a meaningful order of their processing units. “Ordering” thereby usually does not mean moving of units to new places. The units may even be structurally identical; the specialized role is determined by their internal parameters which are made to change in certain processes. It then appears as if specific units having a meaningful organization were produced.

Keywords

Weight Vector Input Vector Processing Unit Lateral Interaction Test Vector 
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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Copyright information

© Springer-Verlag Berlin Heidelberg 1988

Authors and Affiliations

  • Teuvo Kohonen
    • 1
  1. 1.Laboratory of Computer and Information SciencesHelsinki University of TechnologyEspoo 15Finland

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