BAM-type Cohen–Grossberg neural networks with time delays

Anti-periodic solutions for BAM neural networks with time delays

Exponential stability of reaction-diffusion Cohen-Grossberg-type BAM neural networks with time delays

Abstract: The global exponential stability is investigated for a class of reaction-diffusion Cohen-Grossberg-type BAM neural networks with time delays. By constructing suitable Lyapunov functional and using homeomorphism mapping, several sufficient conditions guaranteeing the existence, uniqueness and global exponential stability of reaction-diffusion Cohen-Grossberg-type BAM neural networks wi...

Almost Periodic Solutions for Neutral-Type BAM Neural Networks with Delays on Time Scales

Using the existence of the exponential dichotomy of linear dynamic equations on time scales, a fixed point theorem and the theory of calculus on time scales, we obtain some sufficient conditions for the existence and exponential stability of almost periodic solutions for a class of neutral-type BAM neural networks with delays on time scales. Finally, a numerical example illustrates the feasibil...

Periodic Solutions of Cohen-Grossberg-Type BAM Neural Networks with Time-Varying Delays

Sufficient conditions to guarantee the existence and global exponential stability of periodic solutions of a CohenGrossberg-type BAM neural network are established by suitable mathematical transformation.

Exponential stability of periodic solutions for inertial Cohen-Grossberg-type BAM neural networks with time delays

Abstract: The paper is concerned with the existence and global exponential stability of periodic solutions for inertial Cohen-Grossberg-type BAM neural networks with time delays. With variable transformation the system is transformed to first order differential equations. Some new sufficient conditions ensuring the existence and global exponential stability of periodic solutions for the system ...