The problem of determining whether two sets are bi Lipschitz equivalence is complicated.

确定两个集是否为双李卜希兹等价是一个复杂的问题。

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Compared with the study of stochastic differential equations, non-Lipschitz stochastic integral equations seems relatively lagging.

相对于随机微分方程的广泛讨论，随机积分方程的研究就显得滞后很多。

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This paper investigates the absolute exponential stability of generalized neural networks with a general class of partially Lipschitz continuous and monotone increasing activation functions.

本文研究了一类具偏李·普希兹连续和单调增加激活函数的神经网络绝对指数稳定性问题。

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This paper investigates the absolute exponential stability of generalized neural networks with a general class of partially Lipschitz continuous and monotone increasing activation functions.

本文研究了一类具偏李·普希兹连续和单调增加激活函数的神经网络绝对指数稳定性问题。

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