Identification of Wiener Models based on SVM and Orthonormal Bases

In this paper, a novel method for the identification of the linear and nonlinear blocks in a Wiener model is presented. The method combines Support Vector Machines and Least Squares Prediction Error techniques. The identification is carried out by minimizing an augmented cost function defined as the...

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Detalles Bibliográficos
Autores principales: Gómez, Juan Carlos, Baeyens, Enrique
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2012
Materias:
Ciencias Informáticas
Wiener Models
Identification
SVM and Orthonormal Bases
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/123791
https://41jaiio.sadio.org.ar/sites/default/files/5_AST_2012.pdf
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata

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