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ISSN
0899-7667
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1530-888X
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Neural Computation

May 15, 1998, Vol. 10, No. 4, Pages 807-814
(doi: 10.1162/089976698300017485)
© 1998 Massachusetts Institute of Technology
Weight-Value Convergence of the SOM Algorithm for Discrete Input
Article PDF (135.4 KB)
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.