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
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;
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
DOI :
10.1109/SMCIA.2005.1466947
