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Global Asymptotical Stability of Neutral-Type Neural Networks with D-Operator and Mixed Delays

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In this manuscript, we investigate the stability problems of neutral-type neural networks with operator and mixed delays. Some sufficient conditions are obtained for guaranteeing the existence, uniqueness, and global asymptotical… Click to show full abstract

In this manuscript, we investigate the stability problems of neutral-type neural networks with operator and mixed delays. Some sufficient conditions are obtained for guaranteeing the existence, uniqueness, and global asymptotical stability of periodic solutions to the considered neural networks. Finally, a numerical example is performed to illustrate the theoretical results.

Keywords: operator mixed; neural networks; neutral type; networks operator; stability; type neural

Journal Title: Mathematical Problems in Engineering
Year Published: 2020

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