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Generalized perceptron learning rule and its implications for photorefractive neural networks

โœ Scribed by Cheng, Chau-Jern; Yeh, Pochi; Hsu, Ken Yuh


Book ID
115394292
Publisher
Optical Society of America
Year
1994
Tongue
English
Weight
648 KB
Volume
11
Category
Article
ISSN
0740-3224

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This paper proposes a GRG (Greedy Rule Generation) algorithm, a new method for generating classification rules from a data set with discrete attributes. The algorithm is "greedy" in the sense that at every iteration, it searches for the best rule to generate. The criteria for the best rule include t