Exponential Synchronization of Delayed Reaction-diffusion Neural Networks with General Boundary Conditions
نویسندگان
چکیده
In this paper, we study delayed reactiondiffusion neural networks with general boundary conditions including Dirichlet and Neumann boundary conditions. By using some inequality techniques and constructing suitable Lyapunov functionals, some sufficient conditions are given to ensure the exponential synchronization of the drive-response neural networks. Finally, an example is given to verify the theoretical analysis.
منابع مشابه
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تاریخ انتشار 2013