Abstract
This paper is concerned with the anti-periodic solutions for a class of cellular neural network model with oscillating coefficients in leakage terms. By applying contraction mapping fixed point theorem and differential inequality techniques, we establish some sufficient conditions to guarantee the existence and exponential stability of anti-periodic solutions for this model, which improve and supplement existing ones. Moreover, an example and its numerical simulations are given to support the theoretical results.
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The author would like to thank the editor and the reviewers for their helpful comments and constructive suggestions, which were very helpful in the revision of this correspondence.
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This work was supported by the Natural Scientific Research Fund of Hunan Provincial of China (Grant Nos. 2016JJ6103, 2016JJ6104), and the Construction Program of the Key Discipline in Hunan University of Arts and Science-Applied Mathematics.
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Zhou, Q. Anti-periodic solutions for cellular neural networks with oscillating coefficients in leakage terms. Int. J. Mach. Learn. & Cyber. 8, 1607–1613 (2017). https://doi.org/10.1007/s13042-016-0531-1
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DOI: https://doi.org/10.1007/s13042-016-0531-1