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13

TNN
2008

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A Fault-Tolerant Regularizer for RBF Networks

13 years 4 months ago

A Fault-Tolerant Regularizer for RBF Networks

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In classical training methods for node open fault, we need to consider many potential faulty networks. When the multinode fault situation is considered, the space of potential faulty networks is very large. Hence, the objective function and the corresponding learning algorithm would be computationally complicated. This paper uses the Kullback

Chi-Sing Leung, J. P. F. Sum

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Added	15 Dec 2010
Updated	15 Dec 2010
Type	Journal
Year	2008
Where	TNN
Authors	Chi-Sing Leung, J. P. F. Sum

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