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A generalized model of neural networks with time-varying delays and impulsive effects is considered. By establishing an impulsive delay differential inequality, we investigate the global exponential stability and uniform stability of impulsive delay neural networks. Our sufficient conditions ensuring the stability are dependent on delays and impulses and show delay and impulsive effects on the stability of neural networks. The results extend and improve the earlier publications.
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Yang et al. (2005) studied this question.
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