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Neural Computation, Vol 10, 807-814, Copyright © 1998 by The MIT Press


NOTES

Weight Value Convergence of the SOM Algorithm for Discrete Input

Siming Lin and Jennie Si

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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K. Haese
Kalman Filter Implementation of Self-Organizing Feature Maps
Neural Comput., July 1, 1999; 11(5): 1211 - 1233.
[Abstract] [Full Text]




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Copyright © 1998 by The MIT Press.