Rule Learning and Extraction Using a Hybrid Neural Network: A Case Study on Fault Detection and Diagnosis
A hybrid network, based on the integration of Fuzzy ARTMAP (FAM) and the Rectangular Basis Function Network (RecBFN), is proposed for rule learning and extraction problems. The underlying idea for such integration is that FAM operates as a classifier to cluster data samples based on similarity, whil...
| Main Authors: | , |
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| Format: | Article |
| Published: |
2005
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| Subjects: | |
| Online Access: | http://shdl.mmu.edu.my/2386/ |