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Kohonen update rule

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The Kohonen update rule is a competitive learning update rule used to train Self-Organizing Maps (SOMs). It is named after Teuvo Kohonen, the inventor of the SOM.

Kohonen
FamilyCompetitive
DirectionForward
DeployableYes
SupervisedNo

Contents

Usage

Main article: Self-organizing map

The Kohonen update rule is closely related to other competitive rules, such as the Neural gas update rule. The difference between a neural gas and a Self-Organizing Map is that the map has elastic links between the neurons while the gas neurons are free to move unrestricted.


Algorithm

Weight update:

\Delta W=\sum_{k=1}^R N(X,W_K)\alpha (X^T-W_k)

where W are the weights, X the input vector, \alpha the learning rate and N the neighbourhood function.

Settings

The settings can be modified using the settings browser.


Kohonen update rule settings


  • (Learning Forward)
  • Step: The size of the learning rate.

See also

This page was last modified 13:49, 6 April 2008.  This page has been accessed 1,193 times.  Disclaimers