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Existence of Periodic Solutions for Cohen-Grossberg Neural Networks with Time-Varying Delays and Impulses

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Advances in Neural Networks – ISNN 2011 (ISNN 2011)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6675))

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Abstract

By using the continuation theorem of Mawhin’s coincidence degree theory, some new sufficient conditions are obtained for the existence of periodic solution of higher-order Cohen-Grossberg type neural networks with variable delays and impulses, moreover, the monotonicity and smoothness of activation function are not assumed in this paper.

This work is supported by the National Science Foundation of China under grant 10801113, Shandong Province Natural Science Foundation under Grant number R2010AM012.

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References

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Wu, C. (2011). Existence of Periodic Solutions for Cohen-Grossberg Neural Networks with Time-Varying Delays and Impulses. In: Liu, D., Zhang, H., Polycarpou, M., Alippi, C., He, H. (eds) Advances in Neural Networks – ISNN 2011. ISNN 2011. Lecture Notes in Computer Science, vol 6675. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21105-8_60

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  • DOI: https://doi.org/10.1007/978-3-642-21105-8_60

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21104-1

  • Online ISBN: 978-3-642-21105-8

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