Weight-Value Convergence of the SOM Algorithm for Discrete Input
Siming Lin, Jennie Si · Neural Computation · 1998
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.