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Pseudo almost periodic solutions of discrete-time neutral-type neural networks with delays
Authors:Fanchao Kong  Xianwen Fang
Affiliation:1.School of Mathematics and Big Data,Anhui University of Science and Technology,Huainan,People’s Republic of China
Abstract:This paper is concerned with discrete-time neutral-type neural networks with delays. The existence and uniqueness results of pseudo almost periodic solutions are established by applying the contraction mapping principal. By using some mathematical analysis techniques, we further obtain the boundness, exponential attractivity and global exponential stability of pseudo almost periodic solutions for the considered networks. Finally, a typical example and the corresponding numerical simulations have been carried out to support our analytic findings.
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