Stability analysis of inertial neural networks: A case of almost anti‐periodic environment
Adnène Arbi, Najeh Tahri · Mathematical Methods in the Applied Sciences · 2022
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.