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Fuzzy rule extraction by bacterial memetic algorithms
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Orientador(es)
Resumo(s)
In our previous papers fuzzy model identification methods were discussed. The bacterial 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 will be called bacterial memetic algorithm. In this paper this new kind of memetic algorithm is introduced for fuzzy rule extraction. The paper presents how the bacterial algorithm can be improved with the Levenberg-Marquardt technique.
Descrição
Palavras-chave
Bacterial algoritm Levenberg-Marquardt method Memetic algorithm
Contexto Educativo
Citação
Botzheim, J.; Cabrita, C.; Ruano, A. E.; Koczy, Laszlo T. Fuzzy Rule Extraction by Bacterial Memetic Algorithms, Trabalho apresentado em IFSA 2005 World Congress, In Proceedings of the IFSA 2005 World Congress, Beijing, 2005.