A fast multi-output RBF neural network construction method

This paper investigates the center selection of multi-output radial basis function (RBF) networks, and a multi-output fast recursive algorithm (MFRA) is proposed. This method can not only reveal the significance of each candidate center based on the reduction in the trace of the error covariance mat...

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Veröffentlicht in:	Neurocomputing (Amsterdam) Jg. 73; H. 10; S. 2196 - 2202
Hauptverfasser:	Du, Dajun, Li, Kang, Fei, Minrui
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.06.2010
Schlagworte:	Center selection Computational complexity analysis Linear-in-the-parameters model Multi-output fast recursive algorithm (MFRA) Multi-output radial basis function (RBF) neural network Computational complexity analysis Multi-output fast recursive algorithm (MFRA) Center selection Linear-in-the-parameters model Multi-output radial basis function (RBF) neural network
ISSN:	0925-2312, 1872-8286
Online-Zugang:	Volltext
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