Fault detection and diagnosis using the fuzzy min-max neural network with rule extraction

Chen, KY, Lim, Chee Peng and Lai, WK 2004, Fault detection and diagnosis using the fuzzy min-max neural network with rule extraction, in KES: International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, Springer Verlag, Berlin, Germany, pp. 357-364, doi: 10.1007/978-3-540-30134-9_48.


Title Fault detection and diagnosis using the fuzzy min-max neural network with rule extraction
Author(s) Chen, KY
Lim, Chee PengORCID iD for Lim, Chee Peng orcid.org/0000-0003-4191-9083
Lai, WK
Conference location Wellington, New Zealand
Conference dates 2004/09/20 - 2004/09/25
Title of proceedings KES: International Conference on Knowledge-Based and Intelligent Information and Engineering Systems
Publication date 2004
Start page 357
End page 364
Total pages 8
Publisher Springer Verlag
Place of publication Berlin, Germany
Keyword(s) Fuzzy Min-Max neural network (FMM)
“black-box” phenomenon
Circulating Water (CW) system
domain
Science & Technology
Technology
Computer Science, Artificial Intelligence
Computer Science, Information Systems
Computer Science
ISSN 0302-9743
1611-3349
Language eng
DOI 10.1007/978-3-540-30134-9_48
Field of Research 08 Information And Computing Sciences
HERDC Research category EN.1 Other conference paper
Copyright notice ©2004, Springer-Verlag Berlin Heidelberg
Persistent URL http://hdl.handle.net/10536/DRO/DU:30099612

Document type: Conference Paper
Collection: Centre for Intelligent Systems Research
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