Weight-Value Convergence of the SOM Algorithm for Discrete Input

Siming Lin, Jennie Si

Research output: Contribution to journalArticle

18 Citations (Scopus)

Abstract

Some insights on the convergence of the weight values of the self-organizing map (SOM) to a stationary state in the case of discrete input are provided. The convergence result is obtained by applying the Robbins-Monro algorithm and is applicable to input-output maps of any dimension.

Original languageEnglish (US)
Pages (from-to)807-814
Number of pages8
JournalNeural Computation
Volume10
Issue number4
StatePublished - May 15 1998

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Self organizing maps
Weights and Measures
Self-organizing Map

ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Systems Engineering
  • Neuroscience(all)

Cite this

Weight-Value Convergence of the SOM Algorithm for Discrete Input. / Lin, Siming; Si, Jennie.

In: Neural Computation, Vol. 10, No. 4, 15.05.1998, p. 807-814.

Research output: Contribution to journalArticle

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