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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| Format: | Article |
| Published: |
2010
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| Subjects: |