To address the shortage of existing flight theories on the calculation of lift-off speed of civil air-craft at plateau airports,and the problem of single and complex calculation methods.By using MATLAB simulation platform to built a model of aircraft take-off run stage at plateau airport,a large number of training samples were obtained by calculating the lift-off speed under different flight conditions,estab-lished a BP neural network model,take airport altitude,aircraft weight,safe take-off speed,temperature and available take-off distance as input quantities and aircraft lift-off speed as output quantity.The neu-ral network was Trained and tested until the mean square deviation reaches the requirement.Compared and analyzed the estimated values obtained from the neural network with the simulation data.The mean square error is 4.128 9 and the root mean square error is 5.612 1.The neural network calculation method is efficient,with small error,and can be applied to the calculation of lift-off speed for different plateau aircraft types under different influencing factors,which has some reference value for plateau airport opera-tion and calculation of runway length determination.