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A new online kernel method identification on RKHS space
Conference proceeding

A new online kernel method identification on RKHS space

Okba Taouali, Ines Zakraoui, Ilyes Elaissi and Hassani Messaoud
2013 International Conference on Electrical Engineering and Software Applications, pp.1-6
03/2013
DOI: https://doi.org/10.1109/ICEESA.2013.6578480

Abstract

Data models Educational institutions Hilbert space Kernel Mathematical model Measurement uncertainty online identification RKHS Kernel method Support vector machines SVR Tennessee process
This paper proposes a new kernel method for online identification of nonlinear system. The proposed Support Vector Regression-Regularized Network (SVR-RN) method uses the technique SVR in an offline phase to reduce the parameters number of the RKHS. Then the RN method is used to update theses reduced parameters.

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