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Standardizing measurements of the parameters of mathematical models of neural networks

โœ Scribed by O. E. Filatova


Book ID
105602554
Publisher
Springer US
Year
1997
Tongue
English
Weight
427 KB
Volume
40
Category
Article
ISSN
0543-1972

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Mathematical model for the self-organiza
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Mutual inhibition between neurons combined with a learning principle similar to that proposed by Hebb is shown to secure a powerful self-organizing property for neural networks. Numerical analysis reveals that the system investigated always organizes itself into the same final state from any arbitra