Abstract:I n the paper, we are t o design the optimal learning rule for the Hopfield associative memories ( H A M ) based o n three well recognized criteria, that is, all desired attractors must be made not only isolately stable but also asymptotically stable, and the spurious stable states should be the fewest possible. To construct a satisfactory H A M , those criteria are crucial. I n the paper, we first analyze the real cause of the unsatisfactory performance of the Hebb rule and m a n y other existing learning rul… Show more
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