next up previous
Next: Experimental Setup Up: A Sliding-Window Kernel RLS Previous: Updating the Inverse of


Example Problem: Identification of a Nonlinear Wiener System

In this section, we consider the identification problem for a nonlinear Wiener system, and compare the performance of the proposed kernel RLS algorithm to the standard approach using a multilayer perceptron (MLP). Since kernel methods provide a natural nonlinear extension of linear regression methods, the proposed system is supposed to perform well compared to the MLP [7].



Subsections

Pdf version (187 KB)
Steven Van Vaerenbergh
Last modified: 2006-03-08