DocumentCode
702168
Title
A new fast algorithm for identification of non-linear dynamic systems using radial basis function networks
Author
Li, K.
Author_Institution
Intelligent Systems and Control Group, School of Electrical and Electronic Engineering, Queen´s University Belfast, Ashby Building, Stranmillis Rd., Belfast BT9 5AH, UK
fYear
2003
fDate
1-4 Sept. 2003
Firstpage
2162
Lastpage
2167
Abstract
A new fast estimation algorithm is derived for identification of non-linear dynamic systems using radial basis function networks. The new algorithm is able to both select the hidden nodes and to compute weights of the output layer in the radial basis function neural networks (RBFN) simultaneously in a stepwise forward fashion.
Keywords
Computational modeling; Cost function; Heuristic algorithms; Mathematical model; Matrix decomposition; Radial basis function networks; Training; System identification; network construction; non-linear system; radial basis function network;
fLanguage
English
Publisher
ieee
Conference_Titel
European Control Conference (ECC), 2003
Conference_Location
Cambridge, UK
Print_ISBN
978-3-9524173-7-9
Type
conf
Filename
7085287
Link To Document