Aero-engine load spectrum task section modeling method based on support vector machine regression

The invention discloses an aero-engine load spectrum task segment modeling method based on support vector machine regression. The method comprises the following steps: extracting aero-engine load spectrum task segment data; preprocessing the task segment data, and establishing a training sample set and a test sample set; inputting a training sample set, initializing parameters of the support vector machine regression model, and setting a parameter change range; obtaining optimal parameters of the support vector machine regression model by adopting a genetic algorithm; training the aero-engine load spectrum task segment simulation model, and calculating a predicted value of a training sample set; inputting a test sample set, and calculating a predicted value of test data by adopting the simulation model; and analyzing the modeling precision of the aero-engine load spectrum task section. The method can solve the problem that accurate and efficient modeling cannot be realized due to various task segments and dis