HYSTERESIS CHARACTERIZATION BY A FUZZY LEARNING ALGORITHM
1994 ◽
Vol 02
(03)
◽
pp. 351-360
Keyword(s):
In this paper, the hysteresis characterization in fuzzy spaces is presented by utilizing a fuzzy learning algorithm to generate fuzzy rules automatically from numerical data. The hysteresis phenomenon is first described to analyze its underlying mechanism. Then a fuzzy learning algorithm is presented to learn the hysteresis phenomenon and is used for predicting a simple hysteresis phenomenon. The results of learning are illustrated by mesh plots and input-output relation plots. Furthermore, the dependency of prediction accuracy on the number of fuzzy sets is studied. The method provides a useful tool to model the hysteresis phenomenon in fuzzy spaces.
2001 ◽
Vol 118
(2)
◽
pp. 339-350
◽
2015 ◽
Vol 27
(1)
◽
pp. 533-548
◽
2000 ◽
Vol 112
(1)
◽
pp. 99-116
◽
Keyword(s):
1996 ◽
Vol 8
(4)
◽
pp. 695-705
◽
2015 ◽
Vol 83
(1)
◽
pp. 35-53
◽