An instrumental least squares support vector machine for nonlinear system identification
نویسندگان
چکیده
منابع مشابه
An instrumental least squares support vector machine for nonlinear system identification
Least-Squares Support Vector Machines (LS-SVM’s), originating from Stochastic Learning theory, represent a promising approach to identify nonlinear systems via nonparametric estimation of nonlinearities in a computationally and stochastically attractive way. However, application of LS-SVM’s in the identification context is formulated as a linear regression aiming at the minimization of the l2 l...
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Constitutive modeling of clay is an important research in geotechnical engineering. It is difficult to use precise mathematical expressions to approximate stress-strain relationship of clay. Artificial neural network (ANN) and support vector machine (SVM) have been successfully used in constitutive modeling of clay. However, generalization ability of ANN has some limitations, and application of...
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ژورنال
عنوان ژورنال: Automatica
سال: 2015
ISSN: 0005-1098
DOI: 10.1016/j.automatica.2015.02.017