Dynamical behaviors of reaction–diffusion fuzzy neural networks with mixed delays and general boundary conditions

In this paper, we study delayed reaction–diffusion fuzzy neural networks with general boundary conditions. By using topology degree theory and constructing suitable Lyapunov functional, some sufficient conditions are given to ensure the existence, uniqueness and globally exponential stability of the equilibrium point. Finally, an example is given to verify the theoretical analysis.