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Attractor transitions: A basis for sequential processing in neural networks?

✍ Scribed by Tony Bell


Publisher
Elsevier Science
Year
1988
Tongue
English
Weight
105 KB
Volume
1
Category
Article
ISSN
0893-6080

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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