Abstract
In this paper, we use the Lyapunov function to establish new results on the existence uniqueness and globally exponential stablity of anti-periodic solutions for high-order Cohen-Grossberg neural networks with time-varying delays. Finally, an example and its simulation are given to illustrate the feasibility and effectiveness of our results.
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Li, Z., Zhao, K., Yang, C. (2010). The Existence of Anti-periodic Solutions for High-Order Cohen-Grossberg Neural Networks. In: Zhang, L., Lu, BL., Kwok, J. (eds) Advances in Neural Networks - ISNN 2010. ISNN 2010. Lecture Notes in Computer Science, vol 6063. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13278-0_75
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DOI: https://doi.org/10.1007/978-3-642-13278-0_75
Publisher Name: Springer, Berlin, Heidelberg
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