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Adaptive filtering of evoked potentials with radial-basis-function neural network prefilter

✍ Scribed by Wei Qiu; Fung, K.S.A.; Chan, F.H.Y.; Lam, F.K.; Poon, P.W.F.; Hamernik, R.P.


Book ID
114531208
Publisher
IEEE
Year
2002
Tongue
English
Weight
185 KB
Volume
49
Category
Article
ISSN
0018-9294

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## Abstract In this paper, we examine the control of robot manipulators utilizing a Radial Basis Function (RBF) neural network. We are able to remove the typical requirement of Persistence of Excitation (PE) for the desired trajectory by introducing an __error minimizing dead‐zone__ in the learning