وجود، منحصر به فرد بودن و ثبات راه حل های خفیف برای واکنش های اتفاقی واکنش شبکه های عصبی کوهن گروسبرگ با تاخیر و فرآیندهای وینر

In this paper, we study delayed reaction–diffusion Cohen–Grossberg neural networks driven by infinite dimensional Wiener processes. Based on semigroup theory, existence and uniqueness of mild solutions are proved under global Lipschitz conditions. Then, some criteria of global exponential stability are obtained by using Lyapunov method and Halanay inequality. Finally, some interesting examples are provided to show the feasibility and usefulness of the developed results.