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- W2370147188 abstract "In this paper,the Cohen-Grossberg neural network with time-varying delays is considered.We assume neither the boundedness,monotonicity and differentiability on the activation functions nor the boun dedness on amplification function.Some sufficient conditions ensuring the existence of periodic solution for the Cohen-Grossberg neural network wiuh time-varying delays are obtained by employing matrix theory,a continuation tieorem of the coincidence degree and inequality analysis.An example is given to show the effectiveness of the obtained results.Our results are all independent of the delays and maybe more convenient to design a circuit network." @default.
- W2370147188 created "2016-06-24" @default.
- W2370147188 creator A5047077749 @default.
- W2370147188 date "2007-01-01" @default.
- W2370147188 modified "2023-09-23" @default.
- W2370147188 title "Existence of Periodic Solutions for Cohen-Grossberg Neural Networks with Time-Varying Delays" @default.
- W2370147188 hasPublicationYear "2007" @default.
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