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The principal application of the Hopfield network
has been by physicists to the
theory of spin glasses. There have been uses
of the network for associative
or content-addressable memory, in spite of its
inefficiency. The architecture
has also been the inspiration for networks which
minimise functions other than
the energy function introduced by Hopfield.
An application of Hopfield networks to the problem
of recognizing handwritten
digits is described in [3], as part of a comparison
of the performance of a
number of network architectures on this problem.
Mike Alder
9/19/1997