Non Iterative Hopfield Model

A. Edgar, C.Y. Marquez
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引用次数: 1

Abstract

The Hopfield model has problems in the recall phase, one of them it's the time convergence or non convergence in certain cases. We propose a model that eliminates iteration in Hopfield model. This modification in the recall phase, eliminates the iterations and for consequence takes fewer steps, after them, the recuperation of N patterns learned it's the same or little better than Hopfield model. Finally because iteration is eliminated the recuperation time is reduced too
非迭代Hopfield模型
Hopfield模型在回忆阶段有问题,其中之一是在某些情况下时间收敛或不收敛。我们提出了一个在Hopfield模型中消除迭代的模型。这种在回忆阶段的修改,消除了迭代,因此需要更少的步骤,在他们之后,N个模式的恢复学习它与Hopfield模型相同或略好。最后,由于消除了迭代,也减少了恢复时间
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