We address the problem of stochastic attractor and boundedness of a class of switched Cohen-Grossberg neural networks (CGNN) with discrete and infinitely distributed delays. With the help of stochastic analysis technology. the Lyapunov-Krasovskii functional method. linear matrix inequalities technique (LMI). https://www.socialstudiesscholar.com/