In order to ensure the safe production of the platform and obtain more accurate allowable vertical center curve of gravity, an artificial intelligence method for predicting the allowable vertical center of gravity of the platform is proposed to replace the conventional linear interpolation method. Taken different drafts of a jack-up wind power installation platform as the input layer of the neural network and the corresponding intact stability allowable vertical center of gravity as the output layer for training, the trained neural network is used to predict the allowable vertical center curve of gravity. By comparing the predicted results with the actual values and the calculated values of linear interpolation method, the maximum relative error of the predicted results of the neural network is 1.43%, which shows that the neural network method is more accurate than the linear interpolation method. It proves that the neural network can accurately predict the allowable vertical center curve of gravity of the complete stability and provide support for the safe operation of the platform.