A PID control method based on RBF neural network algorithm is put forward by realizing on-line identification with RBF network. Setting up on-line reference model and offering gradient information for PID controller, the on-line adjustment of the controller's parameter will be accomplished. The simulating result indicates that the method has higher precision and better dynamic characteristic when it is used in vacuum furnace's temperature controlling system.