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Fuzzy rule extraction by bacterial memetic algorithms

✍ Scribed by J. Botzheim; C. Cabrita; L. T. Kóczy; A. E. Ruano

Publisher
John Wiley and Sons
Year
2009
Tongue
English
Weight
353 KB
Volume
24
Category
Article
ISSN
0884-8173

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✦ Synopsis

In our previous papers, fuzzy model identification methods were discussed. The bacterial evolutionary algorithm for extracting fuzzy rule base from a training set was presented. The Levenberg-Marquardt method was also proposed for determining membership functions in fuzzy systems. The combination of the evolutionary and the gradient-based learning techniques is usually called memetic algorithm. In this paper, a new kind of memetic algorithm, the bacterial memetic algorithm, is introduced for fuzzy rule extraction. The paper presents how the bacterial evolutionary algorithm can be improved with the Levenberg-Marquardt technique.

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