Existence and Stability of Periodic Solutions for BAM Neural Networks with Time-Varying Delays and Impulses

ADVANCES IN NEURAL NETWORKS - ISNN 2009, PT 1, PROCEEDINGS（2009）

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摘要

By using the continuation theorem of Mawhin's coincidence degree theory, some new sufficient conditions are obtained for the existence and stability of periodic solution of BAM neural networks with variable delays and impulses, and without requirement of the boundedness of the activation functions.

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关键词

periodic solution,coincidence degree theory,bam neural networks,activation function,periodic solutions,time-varying delays,continuation theorem,new sufficient condition,variable delay,bam neural network

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