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Large flexible spacecraft because of its low weight, flexible, ambassador of the wing structure parts in large elastic deformation occurring during loading, present the geometric nonlinear effect significantly, therefore accurate structure of large deformation is vital for geometric nonlinear aeroelasticity analysis modeling method, and neural network for nonlinear system with strong ability of fitting, By applying neural network to nonlinear structure modeling, the prediction model of large deformation of structure was constructed, and the nonlinear aeroelastic analysis framework was built by combining curved vortex lattice method, and gust response of a wing model was calculated. Results show that the neural network model can accurately predict big flexible wing structure deformation, applied to the pneumatic elastic analysis can accurately gust response calculation, the neural network is applied to the structure is verified the feasibility of large deformation forecast, for the machine learning technology combined with pneumatic elastic analysis of research ideas and methods.