Global Exponentially Stability of Hopfield Neural Networks

In this paper, the stability of Hopfield neural networks is investigated. Under two different circumstances, with activation functions being strictly increased and activation functions being strictly increased but their gains being limited, this paper put forth the criteria that ensure the global exponential stability of networks. As to the networks whose activation functions are strictly increased and whose neuron connection matrix T is diagonal stable, the exponential convergence rate is given.