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Fuzzy rule extraction by bacterial memetic algorithms
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Resumo(s)
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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Contexto Educativo
Citação
Botzheim, J.; Cabrita, C.; Kóczy, L. T.; Ruano, A. E. Fuzzy rule extraction by bacterial memetic algorithms, International Journal of Intelligent Systems, 24, 3, 312-339, 2009.