Self-organization property of Kohonen's map with general type of stimuli distribution
โ Scribed by Ali A. Sadeghi
- Publisher
- Elsevier Science
- Year
- 1998
- Tongue
- English
- Weight
- 124 KB
- Volume
- 11
- Category
- Article
- ISSN
- 0893-6080
No coin nor oath required. For personal study only.
โฆ Synopsis
Here the self-organization property of one-dimensional Kohonen's algorithm in its 2k ยน neighbor setting with a general type of stimuli distribution and non-increasing learning rate is considered. A new definition of the winner is given, which coincides with the usual definition in implementations of the algorithm. We prove that the probability of self-organization for all initial weights of neurons is uniformly positive. For the special case of a constant learning rate, it implies that the algorithm self-organizes with probability one. The conditions imposed on the neighborhood function, stimuli distribution and learning rate are quite general.
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