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In this paper, further analysis on stability of delayed neural networks is presented via the impulsive delay differential inequality, which was obtained by Li in recent publications. Based on the inequality, some new sufficient conditions ensuring global exponential stability of impulsive delay neural networks are derived, and the estimated exponential convergence rates are also obtained. The conditions are less conservative and restrictive than those established in the earlier references. In addition, some numerical examples are given to show the effectiveness of our obtained results. © 2011 Wang; licensee Springer.

Further analysis on stability of delayed neural networks via inequality technique