Stability of Delayed Reaction-Diffusion Neural-Network Models With Hybrid Impulses via Vector Lyapunov Function

Summary

This study analyzes the stability of delayed reaction-diffusion neural networks with hybrid impulses. The findings demonstrate that network stability can be maintained even with these impulses, enabling successful neural network synchronization.

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