@inbook{0c44548554f5494dab8c49be345aa0ec,
title = "Evolutionary optimization of a wiener model",
abstract = "There exists no standard method for obtaining a nonlinear inputoutput 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.",
author = "Oscar Montiel and Oscar Castillo and Patricia Melin and Roberto Sep{\'u}lveda",
year = "2007",
month = aug,
day = "3",
doi = "10.1007/978-3-540-37421-3_3",
language = "Ingl{\'e}s",
isbn = "3540374191",
series = "Studies in Fuzziness and Soft Computing",
pages = "43--58",
editor = "Oscar Castillo and Patricia Melin and Oscar Castillo and Patricia Melin and Witold Pedrycz and Janusz Kacprzyk",
booktitle = "Hybrid Intelligent Systems",
}