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A nonlinear extension of the Generalized Hebbian learning

✍ Scribed by Jyrki Joutsensalo; Juha Karhunen

Book ID
105533823
Publisher
Springer US
Year
1995
Tongue
English
Weight
287 KB
Volume
2
Category
Article
ISSN
1370-4621

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Lyapunov function is constructed for the unsupervised learning equations of a large class of neural networks. These networks have a single layer of adjustable connections; units in the output layer are recurrently connected with fixed symmetric weights. The constructed function is similar in form to