Pseudo Almost Periodic Solutions Of Impulsive Recurrent Neural Networks With Mixed Delays

2016 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)(2016)

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摘要
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.
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关键词
pseudo almost periodic solutions, fixed point method, impulsive recurrent neural network, contraction principle
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