Dynamic Systems in Neural Networks

Warwick, Kevin; Kambhampati, Chandrasekhar; Parks, P. C.; Mason, J. D. T.

doi:10.1007/978-1-4471-3066-6_2

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Radial Basis Function Network2

On-line Adaptive Algorithm1

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2001

2019

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Cited by 11 publications

(3 citation statements)

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“…. ; n r , are the radial basis functions centers and n r is the number of centers (Chen, Cowan, & Grant, 1991;Girosi & Poggio, 1990;Unar & Murray-Smith, 1999;Warwick, Kambhampati, Parks, & Mason, 1996a). The block diagram representing the implementation of considered network (1) is shown in Fig.…”

Section: Radial Basis Function Networkmentioning

confidence: 99%

“…1. Note that, if a RBFN is used for the estimation of the output of a dynamical system, the system dynamics can be taken into account through the input pattern x, that must be composed of a proper set of system input and output samples acquired in a finite set of past time instants (Hunt, Sbarbaro, Zbikowski, & Gawthrop, 1992;Warwick et al, 1996a).…”

Section: Radial Basis Function Networkmentioning

confidence: 99%

“…This adaptation allows the use of nets in a control scheme able to cope with parameters variations and external disturbances (D'Amico et al, 2001a,b;Warwick, Kambhampati, Parks, & Mason, 1996b).…”

Section: On-line Adaptive Algorithmmentioning

confidence: 99%

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