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• W2027507481 abstract "In this Letter, we discuss discrete-time analogue of a continuous-time cellular neural network. Sufficient conditions are obtained for the existence of a unique almost periodic sequence solution which is globally attractive. Our results demonstrate dynamics of the formulated discrete-time analogue as mathematical models for the continuous-time cellular neural network in almost periodic case. Finally, a computer simulation illustrates the suitability of our discrete-time analogue as numerical algorithms in simulating the continuous-time cellular neural network conveniently." @default.
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• W2027507481 date "2006-02-01" @default.
• W2027507481 modified "2023-10-17" @default.
• W2027507481 title "The existence and global attractivity of almost periodic sequence solution of discrete-time neural networks" @default.
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• W2027507481 doi "https://doi.org/10.1016/j.physleta.2005.10.022" @default.
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