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• W2022284471 endingPage "2043" @default.
• W2022284471 startingPage "2035" @default.
• W2022284471 abstract "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." @default.
• W2022284471 created "2016-06-24" @default.
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• W2022284471 date "2010-04-01" @default.
• W2022284471 modified "2023-10-14" @default.
• W2022284471 title "Noise suppress or express exponential growth for hybrid Hopfield neural networks" @default.
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• W2022284471 doi "https://doi.org/10.1016/j.physleta.2010.03.005" @default.
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