Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.1/2263
Título: Estimating fuzzy membership functions parameters by the Levenberg-Marquardt algorithm
Autor: Botzheim, J.
Cabrita, Cristiano Lourenço
Kóczy, László T.
Ruano, A. E.
Data: 2004
Editora: IEEE
Citação: Botzheim, J.; Cabrita, C.; Koczy, L. T.; Ruano, A. E. Estimating fuzzy membership functions parameters by the Levenberg-Marquardt algorithm, Trabalho apresentado em 2004 IEEE International Conference on Fuzzy Systems, In 2004 IEEE International Conference on Fuzzy Systems (IEEE Cat. No.04CH37542), Budapest, Hungary, 2004.
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.
Peer review: yes
URI: http://hdl.handle.net/10400.1/2263
DOI: http://dx.doi.org/10.1109/FUZZY.2004.1375431
ISBN: 0-7803-8353-2
Aparece nas colecções:FCT2-Artigos (em revistas ou actas indexadas)

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