Title :
Identification of Hammerstein-Wiener Model with Least Squares Support Vector Machine
Author :
Haiying, Song ; Weihua, Gui ; Chunhua, Yang
Author_Institution :
Central South Univ., Changsha
Abstract :
A identification method for Hammerstein-Wiener model using least squares support vector machine is proposed. With the solving idea of least squares support vector machine, the identification problem of Hammerstein-Wiener model is converted to the constrained optimization problem by adding constraint so that the parameters of Hammerstein-Wiener model are identified and the computing efficiency of Hammerstein-Wiener is improved.
Keywords :
least squares approximations; optimisation; support vector machines; Hammerstein-Wiener model; constrained optimization problem; least squares support vector machine; Bismuth; Constraint optimization; Electronic mail; Hydrogen; Information science; Least squares methods; Machine intelligence; Support vector machines; Hammerstein-Wiener model least squares vector machine identification; Intelligent modeling;
Conference_Titel :
Control Conference, 2007. CCC 2007. Chinese
Conference_Location :
Hunan
Print_ISBN :
978-7-81124-055-9
Electronic_ISBN :
978-7-900719-22-5
DOI :
10.1109/CHICC.2006.4347301
