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Erschienen in:
2006 | OriginalPaper | Buchkapitel
Evolutionary Modeling Using A Wiener Model
verfasst von : Oscar Montiel, Oscar Castillo, Patricia Melin, Roberto Sepúlveda
Erschienen in: Applied Soft Computing Technologies: The Challenge of Complexity
Verlag: Springer-Verlag
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There exists no standard method for obtaining a nonlinear input-output model using external dynamic approach. In this work, we are using an evolutionary optimization method for estimating the parameters of an NFIR model using the Wiener model structure. Specifically we are using a Breeder Genetic Algorithm (BGA) with fuzzy recombination for performing the optimization work. We selected the BGA since it uses real parameters (it does not require any string coding), which can be manipulated directly by the recombination and mutation operators. For training the system we used amplitude modulated pseudo random binary signal (APRBS). The adaptive system was tested using sinusoidal signals.