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Noise suppress or express exponential growth for hybrid Hopfield neural networks

机译:混合Hopfield神经网络的噪声抑制或表达指数增长

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In this Letter, we will show that noise can make the given hybrid Hopfield neural networks whose solution may grows exponentially become the new stochastic hybrid Hopfield neural networks whose solution will grows at most polynomially. On the other hand, we will also show that noise can make the given hybrid Hopfield neural networks whose solution grows at most polynomially become the new stochastic hybrid Hopfield neural networks whose solution will grows at exponentially. In other words, we will reveal that the noise can suppress or express exponential growth for hybrid Hopfield neural networks.
机译:在这封信中,我们将证明噪声可以使给定的混合Hopfield神经网络(其解可能呈指数增长)成为新的随机混合Hopfield神经网络,其解决方案最多会成倍增长。另一方面,我们还将证明,噪声可以使给定的混合Hopfield神经网络(其解最多增长到多项式)成为新的随机混合Hopfield神经网络,其求解将成倍增长。换句话说,我们将揭示噪声可以抑制或表达混合Hopfield神经网络的指数增长。

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