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In this paper we discuss an improved version of the Bacterial Memetic Algorithm (BMA) used for fuzzy rule base extraction. In previous works we have found several ways to improve the original BMA. Some of them perform well rather in the case of more complex fuzzy rule base, and some of them perform well rather in the case of less complex fuzzy rule base. We(More)
– In previous papers from the authors fuzzy model identification methods were discussed. The bacterial algorithm for extracting fuzzy rule base from a training set was presented. The Levenberg-Marquardt algorithm was also proposed for determining membership functions in fuzzy systems. In this paper the Levenberg-Marquardt technique is improved to optimise(More)