\((\mu _{1},\mu _{2})\)-Pseudo-asymptotically \(\tau \)-periodic function applied to models for differential equations with delays

In this paper, we focus on the \((\mu _{1},\mu _{2})\) $({\mu }_1,{\mu }_2)$ -pseudo-asymptotically \(\tau \) $\tau$ -periodicity and its applications. Then, the problems of existence, uniqueness and global exponential stability of \((\mu _{1},\mu _{2})\) $({\mu }_1,{\mu }_2)$ -pseudo-asymptotically \(\tau \) $\tau$ -periodic solutions for neural networks with delay are considered. Finally, three examples are given to illustrate the validity of the theoretical results