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Quoting: "We introduce a new energy function and a corresponding new update rule which is guaranteed to converge to a local minimum of the energy function."

Is this a minimum in a local area or local in the range of some function? I could see perhaps that'd being an advantage if you happen to know that local part of the range

In contrast we're usually looking for global min/max say with annealing algorithms. How is local is better in the context of this paper than global?




They mean local minimum as in an attractor state. Each "memory" is an attractor state stored in the Hopfield network.




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