Global attractive set of neural networks with neutral item

This paper investigates the global attractive set of neural networks with neutral item. To better deal terms, different types activation functions are considered. Based on matrix measures, inequality techniques, and Lyapunov theory, three new designed to find system. We give out a simulation example verify validity theory results. The result is very inclusive, whether system has equilibrium or not. As long as stable, we can its set.