In this paper, the aerodynamic loss coefficient of the airfoil is obtained through GA-BP Neural Network. The maximum thickness, the position of the maximum thickness, the blade camber angle and the incident angle are set as input parameters, and the loss coefficient is output parameter. The neural network optimized by genetic algorithm is used for training and testing. The GA genetic algorithm is used to optimize the operating conditions, and the data is imported into the prediction model established by the BP neural network for training, and an effective loss coefficient prediction scheme is obtained. The research results show that the GA-BP neural network has high prediction accuracy, and the mean square error of prediction is 6.4228e -05, which can effectively solve the loss coefficient prediction problem of airfoil.
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