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