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On the capability of accommodating new classes within probabilistic neural networks
1Lab. for Adv. Brain Signal Process., RIKEN, Saitama, Japan.
IEEE Transactions on Neural Networks
|February 2, 2008
Abstract:
To date, probabilistic neural networks (PNNs) have been widely used in various pattern classification tasks due to their robustness. In this paper, it is shown that by exploiting the flexible network configuration property, the PNN classifiers also exhibit the capability in accommodating new classes. This is verified by extensive simulation studies on using four different domain data sets for pattern classification tasks.
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