EXISTENCE AND GLOBAL EXPONENTIAL STABILITY OF EQUILIBRIUM SOLUTION TO REACTION-DIFFUSION RECURRENT NEURAL NETWORKS ON TIME SCALES

Existence and Global Exponential Stability of Equilibrium Solution to Reaction-Diffusion Recurrent Neural Networks on Time Scales

The leopard drum throne existence of equilibrium solutions to reaction-diffusion recurrent neural networks with Dirichlet boundary conditions on time scales is proved by the topological degree theory and M-matrix method.Under some sufficient conditions, we obtain the uniqueness and global exponential stability of equilibrium solution to reaction-di

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