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Hybrid neural network model for rule generation and its application to process fault detection and diagnosis
journal contribution
posted on 2007-03-01, 00:00 authored by S Tan, Chee Peng Lim, M RaoHybrid neural network model for rule generation and its application to process fault detection and diagnosis
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Journal
Engineering applications of artificial intelligenceVolume
20Issue
2Pagination
203 - 213Publisher
ElsevierLocation
Amsterdam , The NetherlandsPublisher DOI
ISSN
0952-1976Language
engPublication classification
C1.1 Refereed article in a scholarly journalCopyright notice
2006, ElsevierUsage metrics
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No categories selectedKeywords
Fault detection and diagnosisfuzzy ARTMAPneural networksrectangular basis function networkrule extractionScience & TechnologyTechnologyAutomation & Control SystemsComputer Science, Artificial IntelligenceEngineering, MultidisciplinaryEngineering, Electrical & ElectronicComputer ScienceEngineeringQUANTITATIVE MODELCIRCUIT-BREAKERSEXPERT-SYSTEMRECOGNITIONPATTERNSTRANSFORMERSARCHITECTUREMETHODOLOGYMACHINE
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