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Global Exponential Robust Stability of Hopfield Neural Networks with Reaction-Diffusion Terms

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Advanced Intelligent Computing Theories and Applications (ICIC 2010)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6215))

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Abstract

Some sufficient conditions ensuring existence, uniqueness for a class of interval Hopfield neural networks with unbounded delays and reaction-diffusion terms are proposed in this paper. The obtained conditions including reaction-diffusion terms are less conservative than the existing results. The application of the conditions in practice is illustrated by an example.

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© 2010 Springer-Verlag Berlin Heidelberg

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Xu, X., Zhang, J. (2010). Global Exponential Robust Stability of Hopfield Neural Networks with Reaction-Diffusion Terms. In: Huang, DS., Zhao, Z., Bevilacqua, V., Figueroa, J.C. (eds) Advanced Intelligent Computing Theories and Applications. ICIC 2010. Lecture Notes in Computer Science, vol 6215. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14922-1_3

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  • DOI: https://doi.org/10.1007/978-3-642-14922-1_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14921-4

  • Online ISBN: 978-3-642-14922-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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