Existence And Global Exponential Stability Of Anti-periodic Solutons For Cohen-grossberg NNs

In this thesis,a class Cohen-Grossberg neural networks with bounded and unbounded delays and impulsive effects are studied.By combining graph theorem with coincidence theorem and Lyapunov function method,several sufficient conditions are established for the existence and global exponential stability of anti-periodic solutions for Cohen-Grossberg neural networks with delays and impulsive effects,where,in the second chapter,we considered the Cohen-Grossberg neural networks with bounded and unbounded delays,in the third chapter,we considered the Cohen-Grossberg neural networks with bounded and unbounded delays and impulsive effects.We will give an example to illustrate the feasibility and effectiveness of main results.