Abstract: A BP artificial neural network (ANN) method is introduced to identify aerodynamic derivatives of ideal thin plates. An artificial neural network is constructed followed by the comparison between the prediction results influenced by some factors. The mothods of data processing have strong effects on training results, and the effects of other factors are relatively weak. The training results show that this approach is feasible with satisfactory accuracy.