Rule Learning and Extraction Using a Hybrid Neural Network: A Case Study on Fault Detection and Diagnosis

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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...

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Bibliographic Details
Main Authors:	Tan, Shing Chiang, Lim, Chee Peng
Format:	Article
Published:	2005
Subjects:	QA75.5-76.95 Electronic computers. Computer science
Online Access:	http://shdl.mmu.edu.my/2386/

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