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A modified fuzzy min-max neural network with a genetic-algorithm-based rule extractor for pattern classification

In this paper, a two-stage pattern classification and rule extraction system is proposed. The first stage consists of a modified fuzzy min-max (FMM) neural-network-based pattern classifier, while the second stage consists of a genetic-algorithm (GA)-based rule extractor. Fuzzy if-then rules are extr...

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書目詳細資料
Main Authors:	Quteishat, A., Lim, C.P., Tan, K.S.
格式:	Article
出版:	2010
主題:	Q Science (General)
在線閱讀:	http://eprints.um.edu.my/14712/
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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