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Estimating fuzzy membership functions parameters by the levenberg-marquardt algorithm
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Orientador(es)
Resumo(s)
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 the membership functions in the fuzzy rules without Ruspini-partition. The class of membership functions investigated is the trapezoidal one as it is general enough and widely used. The method can be easily extended to arbitrary piecewise linear functions as well.
Descrição
Palavras-chave
FUZZY Controlo automático Redes neuronais Algoritmo de levenberg-marquard 681.5
Contexto Educativo
Citação
International Joint Conference on Neural Networks and Fuzzy Systems. - Budapest, 25-29 July 2004. - 6 p
Editora
Budapest