Title: Kernel based partially linear models and nonlinear identification
Authors: Espinoza, M ×
Suykens, Johan
De Moor, Bart #
Issue Date: Oct-2005
Publisher: Institute of Electrical and Electronics Engineers
Series Title: IEEE Transactions on Automatic Control vol:50 issue:10 pages:1602-1606
Abstract: In this note, we propose partially linear models with least squares support vector machines (LS-SVMs) for nonlinear ARX models. We illustrate how full black-box models can be improved when prior information about model structure is available. A real-life example, based on the Silverbox benchmark data, shows significant improvements in the generalization ability of the structured model with respect to the full black-box model, reflected also by a reduction in the effective number of parameters.
ISSN: 0018-9286
Publication status: published
KU Leuven publication type: IT
Appears in Collections:ESAT - STADIUS, Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics
× corresponding author
# (joint) last author

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