Improving convergence of parameter tuning process of the additive fuzzy system by new learning strategy

Nguyen, Thi, Gordon-Brown, Lee, Peterson, Jim and Wheeler, Peter 2009, Improving convergence of parameter tuning process of the additive fuzzy system by new learning strategy, World academy of science, engineering and technology, no. 27, pp. 1004-1008.

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Title Improving convergence of parameter tuning process of the additive fuzzy system by new learning strategy
Author(s) Nguyen, Thi
Gordon-Brown, Lee
Peterson, Jim
Wheeler, Peter
Journal name World academy of science, engineering and technology
Issue number 27
Start page 1004
End page 1008
Total pages 5
Publisher World Academy of Science, Engineering and Technology (W A S E T)
Place of publication Las Cruces, N.M.
Publication date 2009-03
ISSN 2010-3778
2010-376X
Keyword(s) additive fuzzy system
improving convergence
parameter learning process
unsupervised learning
Language eng
Field of Research 080108 Neural, Evolutionary and Fuzzy Computation
Socio Economic Objective 970101 Expanding Knowledge in the Mathematical Sciences
HERDC Research category C1.1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30056341

Document type: Journal Article
Collection: Centre for Intelligent Systems Research
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