An adaptive fuzzy min-max conflict-resolving classifier
This paper describes a novel adaptive network, which agglomerates a procedure based on the fuzzy min-max clustering method, a supervised ART (Adaptive Resonance Theory) neural network, and a constructive conflict-resolving algorithm, for pattern classification. The proposed classifier is a fusion of...
| Main Authors: | , , |
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| Format: | Article |
| Published: |
2006
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| Subjects: | |
| Online Access: | http://shdl.mmu.edu.my/2028/ |