Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.1/49
Título: Estimating fuzzy membership functions parameters by the levenberg-marquardt algorithm
Autor: Botzheim, J.
Cabrita, Cristiano Lourenço
Kóczy, László T.
Ruano, A. E.
Palavras-chave: FUZZY
Controlo automático
Redes neuronais
Algoritmo de levenberg-marquard
681.5
Data: 2008
Editora: Budapest
Citação: International Joint Conference on Neural Networks and Fuzzy Systems. - Budapest, 25-29 July 2004. - 6 p
Resumo: 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.
URI: http://hdl.handle.net/10400.1/49
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