An investigation of practical issues in translating algorithms based on back-propagation into analogue VLSI circuits
One of the most widely-used artificial neural networks is the multi-layer perceptron, trained by error-back-propagation (the 'back-propagation algorithm'). Commonly, the network is implemented as a serial-computer simulation, but there has been considerable interest in translating it into...
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University of Edinburgh
1996
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| Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.664002 |