Exponential Stability of Antiperiodic Solution for BAM Neural Networks with Time-Varying Delays

Abstract EN

In this paper, a kind of BAM neural networks with leakage delays in the negative feedback terms and time-varying delays in activation functions was considered.

By constructing a suitable Lyapunov function and using inequality techniques, some sufficient conditions to ensure the existence and exponential stability of antiperiodic solutions of these neural networks were derived.

These conditions extend some results recently appearing in recent papers.

Lastly, an example is given to show the feasibility of these conditions.