DocumentCode
3548690
Title
A simplified linguistic information feedback-based dynamical fuzzy system (S-LIFDFS)-Part II. Evaluation
Author
Gao, X.Z. ; Ovaska, S.J. ; Wang, X.
Author_Institution
Inst. of Intelligent Power Electron., Helsinki Univ. of Technol., Espoo, Finland
fYear
2005
fDate
28-30 June 2005
Firstpage
51
Lastpage
56
Abstract
For pt.1 see ibid., p.41-50 (2005). Part I of this paper introduces the simplified linguistic information feedback-based dynamical fuzzy system (S-LIFDFS) as well as adaptive training algorithms for the feedback parameters. In Part II, we are going to evaluate the effectiveness of the proposed S-LIFDFS and its learning algorithms in time series prediction. Two artificial time sequences and the well-known Box-Jenkins gas furnace data are used.
Keywords
adaptive systems; feedback; fuzzy systems; learning systems; prediction theory; time series; Box-Jenkins gas furnace data; adaptive training algorithm; artificial time sequence; feedback-based dynamical fuzzy system; learning algorithm; simplified linguistic information; time series prediction; Feedback; Furnaces; Fuzzy sets; Fuzzy systems; Power electronics; Predictive models; Trajectory;
fLanguage
English
Publisher
ieee
Conference_Titel
Soft Computing in Industrial Applications, 2005. SMCia/05. Proceedings of the 2005 IEEE Mid-Summer Workshop on
Print_ISBN
0-7803-8942-5
Type
conf
DOI
10.1109/SMCIA.2005.1466947
Filename
1466947
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