New Results for Impulsive Recurrent Neural Networks with Time-Varying Coefficients and Mixed Delays

Neural Processing Letters(2017)

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摘要
In this paper, we shall explain a new result concerning piecewise weighted pseudo almost-periodic solution of impulsive recurrent neural networks with time-varying coefficients and mixed delays. Precisely, some sufficient conditions are given to prove the existence and the exponential stability of piecewise weighted pseudo almost-periodic solution by employing fixed point theorem, generalized Gronwall–Bellman inequality and differential inequality techniques. Finally, an illustrative example is given to demonstrate the effectiveness of our results.
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关键词
Piecewise weighted pseudo almost-periodic function,Impulsive recurrent neural networks,Mixed delays,Generalized Gronwall–Bellman inequality,34C27,37B25,92C20
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