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Draw the architecture of Hopfield network. Explain how it is more stable than the BPN.
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Hopfield model:

Fig: Hopfield model with four node

Distinguishing features:

  1. Fully connected networks of neuron
  2. Bi-directional connections
  3. Symmetric weights {Wij=Wji}
  4. Neurons are linear threshold elements
  5. Asynchronous (most common) / Synchronous Operation
  6. Computes by Energy Minimization (unlike error reduction as in Back Propagation)
  7. Mostly used as Content Addressable Memory (CAM) and …

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