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A Radial Basis Function Neural Network Model for Classification of Epilepsy Using EEG Signals

✍ Scribed by Kezban Aslan; Hacer Bozdemir; Cenk Şahin; Seyfettin Noyan Oğulata; Rızvan Erol


Publisher
Springer US
Year
2008
Tongue
English
Weight
151 KB
Volume
32
Category
Article
ISSN
0148-5598

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Efficient interference cancellation often requires nonlinear processing of a reference signal. In this paper, hyper radial basis function (HRBF) neural networks for adaptive interference cancellation is developed. We show that the HRBF networks, with an appropriate learning algorithm, is able to app