Abstract: The existence, uniqueness of the equilibrium point of a class ofHopfield neural networks were studied by introducing nonlinearmeasures. The activation function is nonlinear and notnecessary to be continuous, monotone and bounded. Some sufficient conditions and convergence estimation for global exponential stability ofneuralnetworkswere obtained.