On the rate of convergence in topology preserving neural networks (Q808996)
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scientific article; zbMATH DE number 4209918
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | On the rate of convergence in topology preserving neural networks |
scientific article; zbMATH DE number 4209918 |
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On the rate of convergence in topology preserving neural networks (English)
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1991
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Kohonen learning (and his feature maps) attracts still more attention of neural network people. Perhaps everybody who worked with it faced the question of proper choice of time-dependent gain and shrinking coefficients as well as the good choice of the ``mexican hut''. The paper uses Gaussian type of the latter and shows that this ``neighborhood interaction function'' leads to a faster convergence.
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topology preserving unsupervised neural network
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rate of self- organization to final equilibrium state
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error measure functional
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Kohonen learning
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feature maps
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mexican hut
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neighborhood interaction function
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0.9231361
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0.88939923
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0.8757961
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0.8725295
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