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- W2492580644 abstract "In this paper, we study the global exponential stability of anti-periodic solution of Cohen-Grossberg neural networks with mixed delays and distributed delays. Based on Lyapunov function and contraction mapping theorem, we introduce some sufficient conditions to ensure the existence and exponential stability of anti-periodic solution of Cohen-Grossberg neural networks. Finally, some numerical examples are provided to show the effectiveness of the obtained results." @default.
- W2492580644 created "2016-08-23" @default.
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- W2492580644 date "2016-01-01" @default.
- W2492580644 modified "2023-10-06" @default.
- W2492580644 title "Exponential Stability of Anti-periodic Solution of Cohen-Grossberg Neural Networks with Mixed Delays" @default.
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- W2492580644 doi "https://doi.org/10.1007/978-3-319-40663-3_19" @default.
- W2492580644 hasPublicationYear "2016" @default.
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