Abstract: The identification model of aeroengine based on the Radial Basis Function network is set up by using the measured flight tests data as learning stylebook.The parameters of engine are identified at different flight heights by this method.The network is also compared with several Back Propagation networks.The results show that this method has the advantage of faster learning rate,higher identifying precision and better real time ability.It can be used on the engine on line identification.