Hybrid neural network model for rule generation and its application to process fault detection and diagnosis

Tan, S. C., Lim, C. P. and Rao, M. V. C. 2007, Hybrid neural network model for rule generation and its application to process fault detection and diagnosis, Engineering applications of artificial intelligence, vol. 20, no. 2, pp. 203-213.

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Title Hybrid neural network model for rule generation and its application to process fault detection and diagnosis
Author(s) Tan, S. C.
Lim, C. P.
Rao, M. V. C.
Journal name Engineering applications of artificial intelligence
Volume number 20
Issue number 2
Start page 203
End page 213
Total pages 11
Publisher Elsevier
Place of publication Amsterdam , The Netherlands
Publication date 2007-03
ISSN 0952-1976
Keyword(s) Fault detection and diagnosis
fuzzy ARTMAP
neural networks
rectangular basis function network
rule extraction
Language eng
Field of Research 099999 Engineering not elsewhere classified
109999 Technology not elsewhere classified
Socio Economic Objective 970109 Expanding Knowledge in Engineering
HERDC Research category C1.1 Refereed article in a scholarly journal
Copyright notice ©2006, Elsevier
Persistent URL http://hdl.handle.net/10536/DRO/DU:30048093

Document type: Journal Article
Collection: Institute for Frontier Materials
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