Wang, Chao; Li, Yongkun Almost periodic solutions to Cohen-Grossberg neural networks on time scales. (English) Zbl 1268.34192 Dyn. Contin. Discrete Impuls. Syst., Ser. B, Appl. Algorithms 20, No. 3, 359-377 (2013). Summary: A class of Cohen-Grossberg neural networks with delays are studied on almost periodic time scales, some new sufficient conditions are established for the existence and global attractivity of the almost periodic solution. Finally, an example and numerical simulations are presented to illustrate the feasibility and effectiveness of the results. Cited in 1 Document MSC: 34N05 Dynamic equations on time scales or measure chains 34K14 Almost and pseudo-almost periodic solutions to functional-differential equations 34K20 Stability theory of functional-differential equations 92B20 Neural networks for/in biological studies, artificial life and related topics Keywords:almost periodic solutions; time scales; Cohen-Grossberg neural networks; existence; attractivity PDFBibTeX XMLCite \textit{C. Wang} and \textit{Y. Li}, Dyn. Contin. Discrete Impuls. Syst., Ser. B, Appl. Algorithms 20, No. 3, 359--377 (2013; Zbl 1268.34192) Full Text: Link