Recognition of topological features of graphs and images in neural networks
- 21 August 1988
- journal article
- Published by IOP Publishing in Journal of Physics A: General Physics
- Vol. 21 (16) , L813-L818
- https://doi.org/10.1088/0305-4470/21/16/006
Abstract
The authors extend the architecture of the Hopfield network, such that it can recognise transformed versions of a set of learnt prototypes. As an example they construct a network which can generalise over all topologically equivalent representations of graphs or images. The construction is based on two coupled networks: a Hopfield network to store and retrieve patterns and a preprocessor to transform the input data.Keywords
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