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Discrete Hopfield Networks

It is an auto-associative fully inter-connected single layer feedback network. 2. It is also symmetrically weighted network.

  1. The network takes two valued inputs: binary (0, 1) or bipolar (+1, -1), the use of bipolar inputs make the analysis easier.
  2. This transition process continues until no new, updated responses are produced and the network reaches its equilibrium.