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Anti-periodic Solutions for Cohen-Grossberg Neural Networks with Varying-Time Delays and Impulses

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Advances in Neural Networks – ISNN 2013 (ISNN 2013)

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Abstract

In this paper, we discuss the existence and exponential stability of the anti-periodic solution for delayed Cohen-Grossberg neural networks with impulsive effects. First we give some sufficient conditions to ensure existence and stability of the anti-periodic solutions. Then we present an example with numerical simulations to illustrate our results.

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Abdurahman, A., Jiang, H. (2013). Anti-periodic Solutions for Cohen-Grossberg Neural Networks with Varying-Time Delays and Impulses. In: Guo, C., Hou, ZG., Zeng, Z. (eds) Advances in Neural Networks – ISNN 2013. ISNN 2013. Lecture Notes in Computer Science, vol 7951. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39065-4_29

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  • DOI: https://doi.org/10.1007/978-3-642-39065-4_29

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-39064-7

  • Online ISBN: 978-3-642-39065-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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