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Weight-value convergence of the SOM algorithm for discrete input
Neural Computation
|June 6, 1998
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.
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