【摘 要】
:
The paper is devoted to periodic attractor of delayed Hopfield neural networks with time-varying.By constructing Lyapunov functionals and using inequality techn
【机 构】
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Department of Mathematics
【基金项目】
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the National Science Foundation of Hunan Provincial Education Department;
论文部分内容阅读
The paper is devoted to periodic attractor of delayed Hopfield neural networks with time-varying.By constructing Lyapunov functionals and using inequality techniques,some new sufficient criteria are obtained to guarantee the existence and global exponential stability of periodic attractor.Our results improve and extend some existing ones in[13~14].One example is also worked out to demonstrate the advantages of our results.
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