DocumentCode
428409
Title
Learning algorithm for linguistic information feedback-based dynamical fuzzy system (LIFDFS)
Author
Gao, X.Z. ; Ovaska, S.J. ; Wang, X.
Author_Institution
Inst. of Intelligent Power Electron., Helsinki Univ. of Technol., Espoo, Finland
Volume
3
fYear
2004
fDate
10-13 Oct. 2004
Firstpage
2278
Abstract
In this paper, the linguistic information feedback-based dynamical fuzzy system (LIFDFS) proposed earlier by the authors is first introduced. The principles of a level sets and backpropagation through time (BTT) are also briefly discussed. We employ these two methods to derive an explicit learning algorithm for the feedback parameters of the LIFDFS. With this training algorithm, our LIFDFS becomes a potential candidate in solving real-time modeling and prediction problems.
Keywords
backpropagation; feedback; fuzzy systems; time-varying systems; backpropagation through time; feedback parameters; learning algorithm; linguistic information feedback-based dynamical fuzzy system; prediction problems; real-time modeling; training algorithm; Backpropagation algorithms; Feedback; Fuzzy logic; Fuzzy systems; Industrial engineering; Neurofeedback; Pattern recognition; Power electronics; Predictive models; System identification;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man and Cybernetics, 2004 IEEE International Conference on
ISSN
1062-922X
Print_ISBN
0-7803-8566-7
Type
conf
DOI
10.1109/ICSMC.2004.1400668
Filename
1400668
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