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Rigorous mathematical models for the densification and integration of geodetic networks

✍ Scribed by Furaha N. Lugoe

Book ID
110546258
Publisher
Springer-Verlag
Year
1990
Tongue
English
Weight
528 KB
Volume
64
Category
Article
ISSN
1432-1394

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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