A neural network classifier with disjunc
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Hahn-Ming Lee; Kuo-Hsiu Chen; I-Feng Jiang
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Article
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1998
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Elsevier Science
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English
β 244 KB
This paper presents a neural network classifier that learns disjunctive fuzzy information in the feature space. This neural network consists of two types of nodes in the hidden layer. The prototype nodes and exemplar nodes represent cluster centroids and exceptions in the feature space, respectively