Weight-Value Convergence of the SOM Algorithm for Discrete Input

Siming Lin, Jennie Si

Research output: Contribution to journalArticlepeer-review

18 Scopus citations


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
Issue number4
StatePublished - May 15 1998

ASJC Scopus subject areas

  • Arts and Humanities (miscellaneous)
  • Cognitive Neuroscience


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