By means of the fixed-point methods and the properties of the μ -pseudo almost periodic functions, we prove the existence, uniqueness, and exponential stability of the μ -pseudo almost periodic solutions for some models of recurrent neural networks with mixed delays and time-varying coefficients, where μ is a positive measure. A numerical example is given to illustrate our main results.

中文翻译：

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具有测度的唯一伪近周期解的稳定性

借助定点方法和μ-伪近周期函数的性质，我们证明了一些具有混合延迟和时间的递归神经网络模型的μ-伪近周期解的存在性、唯一性和指数稳定性。 - 变化系数，其中 μ 是一个正度量。给出了一个数值例子来说明我们的主要结果。