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Generalization by categorical nodes in recurrent neural networks

✍ Scribed by Yoshihiko Suhara; Akito Sakurai

Book ID
116539012
Publisher
Elsevier Science
Year
2006
Tongue
English
Weight
177 KB
Volume
1291
Category
Article
ISSN
0531-5131

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An adaptive neural network with asymmetric connections is introduced. This network is related to the Hopfield network with graded neurons and uses a recurrent generalization of the 6 rule of Rumelhart, Hinton, and Williams to modify adaptively the synaptic weights. The new network bears a resemblanc