Stability analysis of inertial neural networks: A case of almost anti-periodic environment

In this paper, a class of inertial neural networks with time delays is considered. By developing an approach based on differential inequality techniques coupled with Lyapunov function method, some assertions are demonstrated to guarantee the exponential stability of almost anti-periodic solutions for the dynamical system described the model. Finally, two numerical examples to illustrate the feasibility of our theoretical outcomes.

Automated summary

This paper investigates a class of inertial neural networks with time delays. By employing the approach of differential inequality techniques coupled with Lyapunov function method, the exponential stability of almost anti-periodic solutions for the dynamical system described by the model is demonstrated. Two numerical examples are provided to illustrate the feasibility of the theoretical outcomes.