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Prediction of hydrological phenomena using self-organizing mathematical models

โœ Scribed by E. F. Vasechkina; I. E. Timchenko; V. D. Yarin


Book ID
110547370
Publisher
Springer
Year
1997
Tongue
English
Weight
478 KB
Volume
8
Category
Article
ISSN
0928-5105

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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