Dispersive neural networks for adaptive signal processing
Back-propagation is a popular method for training feed-forward neural networks. This thesis extends the back-propagation technique to dispersive networks, which contain internal delay elements. Both the delays and the weights adapt to minimize the error at the output. Dispersive networks can perform...
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| Language: | English |
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2008
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| Online Access: | http://hdl.handle.net/2429/2255 |