Memory and optimisation in neural network models
A numerical study of two classes of neural network models is presented. The performance of Ising spin neural networks as content-addressable memories for the storage of bit patterns is analysed. By studying systems of increasing sizes, behaviour consistent with fintite-size scaling, characteristic o...
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University of Edinburgh
1988
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| Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.384164 |