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Learning as a nonlinear line of attraction in a recurrent neural network

✍ Scribed by Ming-Jung Seow; Vijayan K. Asari; Adam Livingston

Book ID
106175563
Publisher
Springer-Verlag
Year
2009
Tongue
English
Weight
421 KB
Volume
19
Category
Article
ISSN
0941-0643

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The main contribution of this report is the suggestion, development, and trial of a new way of using a Hopfield network for classification. Rather than storing the members of the training sets (sets of exemplars) as stable points, a connection matrix is determined, using perceptron-type learning, su