Abstract
In this paper, the periodic solution for a class of CohenGrossberg neural networks with variable coefficients is discussed. By using inequality analysis technique and matrix theory, some new sufficient conditions are obtained to ensure the existence, uniqueness, global attractivity and exponential stability of the periodic solution. An example is given to show the effectiveness of the obtained results. © Springer-Verlag Berlin Heidelberg 2007.
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CITATION STYLE
Xiang, H., & Cao, J. (2007). Periodic solution of Cohen-Grossberg neural networks with variable coefficients. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4491 LNCS, pp. 941–951). Springer Verlag. https://doi.org/10.1007/978-3-540-72383-7_110
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