Please use this identifier to cite or link to this item: https://doi.org/10.1088/0305-4470/28/1/005
Title: Synapse removal in discrete neural networks
Authors: Viswanathan, R. 
Issue Date: 1995
Citation: Viswanathan, R. (1995). Synapse removal in discrete neural networks. Journal of Physics A: Mathematical and General 28 (1) : L25-L30. ScholarBank@NUS Repository. https://doi.org/10.1088/0305-4470/28/1/005
Abstract: The effect of removing synapses of particular magnitudes on the retrieval property of perceptron neural networks is determined by means of a space-of-interactions calculation. For a discrete state perceptron, an asymptotic (in number of input neurons) upper bound on the number of errors made in a set of given stored patterns due to synapse removal is computed as a function of the number and size of synapses removed.
Source Title: Journal of Physics A: Mathematical and General
URI: http://scholarbank.nus.edu.sg/handle/10635/111213
ISSN: 03054470
DOI: 10.1088/0305-4470/28/1/005
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