Existence and uniqueness of almost automorphic solutions to Cohen-Grossberg neural networks with delays

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Abstract

The almost automorphic solution is a generalization of the almost periodic solution. In this paper, the almost automorphic solutions of Cohen-Grossberg neural networks with delays are considered. Using the semi-discretization method and the contraction mapping principle, some sufficient conditions are obtained to ensure the existence and the uniqueness of almost automorphic solutions to Cohen-Grossberg neural networks with delays.

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Xu, X., Liang, T., Wang, F., & Yang, Y. (2014). Existence and uniqueness of almost automorphic solutions to Cohen-Grossberg neural networks with delays. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8866, pp. 12–18). Springer Verlag. https://doi.org/10.1007/978-3-319-12436-0_2

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