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Pseudo almost periodic solutions of impulsive recurrent neural networks with mixed delays

机译:混合延迟的冲动经常性神经网络伪周期性解决方案

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This work is concerned with the existence and uniqueness of pseudo almost-periodic solution for a class of impulsive recurrent neural network networks with mixed delays. Some criteria are established to prove the asymptotic stability of the equilibrium point. Tow illustrative an example with numerical simulations are given to show the validity of the main results.
机译:这项工作涉及伪几乎定期解决方案的存在和独立性,对一类具有混合延迟的冲动经常性神经网络网络。建立一些标准来证明均衡点的渐近稳定性。牵引说明具有数值模拟的示例,显示了主要结果的有效性。

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