INVESTIGADORES
CHIOTTI Omar Juan Alfredo
artículos
Título:
Identification of frequency-domain Volterra model using Neural Networks
Autor/es:
GEORGINA STEGMAYER,; CHIOTTI, OMAR
Revista:
LECTURE NOTES IN COMPUTER SCIENCE
Editorial:
Springer
Referencias:
Lugar: Berlin; Año: 2005 vol. 2 p. 465 - 472
ISSN:
0302-9743
Resumen:
In this paper, a new mothod is introduced for the identification of a Volterra model for the representation of a nonlinear electronic device in the frequency domain. The Volterra model is a numerical series with some particular terms named kernels. Our proposal is the use of feedforward neural networks for the modeling of the nonlinearities in the device behavior, and a special procedure wich uses the neural networks parameters for the kernel identification.
