Weight-Value Convergence of the SOM Algorithm for Discrete Input

Siming Lin; Jennie Si

doi:10.1162/089976698300017485

Weight-Value Convergence of the SOM Algorithm for Discrete Input

Siming Lin, Jennie Si

Electrical Engineering

Research output: Contribution to journal › Article › peer-review

18 Scopus citations

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 language	English (US)
Pages (from-to)	807-814
Number of pages	8
Journal	Neural Computation
Volume	10
Issue number	4
DOIs	https://doi.org/10.1162/089976698300017485
State	Published - May 15 1998

ASJC Scopus subject areas

Arts and Humanities (miscellaneous)
Cognitive Neuroscience

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title = "Weight-Value Convergence of the SOM Algorithm for Discrete Input",

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.",

author = "Siming Lin and Jennie Si",

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Weight-Value Convergence of the SOM Algorithm for Discrete Input

Abstract

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