A novel extended kernel recursive least squares algorithm

In this paper, a novel extended kernel recursive least squares algorithm is proposed combining the kernel recursive least squares algorithm and the Kalman filter or its extensions to estimate or predict signals. Unlike the extended kernel recursive least squares (Ex-KRLS) algorithm proposed by Liu,...

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Vydáno v:	Neural networks Ročník 32; s. 349 - 357
Hlavní autoři:	Zhu, Pingping, Chen, Badong, Príncipe, José C.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States Elsevier Ltd 01.08.2012
Témata:	Algorithms Computer Simulation Extended kernel RLS algorithm Extended-RLS algorithms Kalman filter Kalman filters Kernels Least squares method Least-Squares Analysis Linear Models Mathematical models Motor Vehicles Neural Networks (Computer) Nonlinear Dynamics Normal Distribution Recursive RLS algorithm State estimation Support Vector Machine Tracking Tracking performance Extended-RLS algorithms RLS algorithm Tracking performance Extended kernel RLS algorithm Kalman filter
ISSN:	0893-6080, 1879-2782, 1879-2782
On-line přístup:	Získat plný text
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