Periodic solutions for a class of higher-order Cohen–Grossberg type neural networks with delays

Anti-periodic Solutions for Neural Networks with Delays and Impulses

AbstractIn this paper we investigate a class of artificial neural networks with delays subject to periodic impulses. By exploiting Lyapunov functions, we analyze the global exponential stability of an arbitrary solution with initial value being bounded by  . Further, we discuss the existence of anti-periodic solutions by constructing fundamental function sequences based on a solution with init...

Anti-periodic solutions for BAM neural networks with time delays

Periodic Solutions and Exponential Stability of a Class of Neural Networks with Time-Varying Delays

Anti-periodic Solutions for High-order Cellular Neural Networks with Time-varying Delays

In this article, we study anti-periodic solutions for high-order cellular neural networks with time-varying delays. Sufficient conditions for the existence and exponential stability of anti-periodic solutions are presented.

Existence of Periodic Solutions for Neutral-Type Neural Networks with Delays on Time Scales

In this paper, we employ a fixed point theorem due to Krasnosel’skii to attain the existence of periodic solutions for neutral-type neural networks with delays on a periodic time scale. Some new sufficient conditions are established to show that there exists a unique periodic solution by the contraction mapping principle.