The paper sets up a class of dynamical fuzzy neural network systems,i.e.so-called (∨,T) fuzzy Hopfield networks based on L-T-norms.We prove the uniform stability of the system and the Lyapunov stability of the equilibrium points at first,then obtain a nontrivially attractive basin of the attractor so that the system has good fault-tolerance.Finally,simulation examples demonstrate our conclusions.