Ionosphere parameter table parameter prediction method based on SVR method

The invention discloses an ionosphere parameter table parameter prediction method based on an SVR method. The ionosphere parameter table parameter prediction method comprises the following steps: step 1, constructing an SQL-based ionosphere parameter table database; step 2, carrying out data preprocessing on ionosphere parameter table data in the ionosphere parameter table database and forming training data and a test data set of the model; 3, constructing and training an ionosphere parameter table parameter prediction model based on an SVR method; wherein the structure of the ionosphere parameter table parameter prediction model based on the SVR method comprises two layers: the prediction value of the first layer model is 0, and the prediction value of the second layer model is 1 +; and 4, testing the trained ionosphere parameter table parameter prediction model by using the test data set, and obtaining a coordinate registration coefficient prediction result. The problem that parameters of an ionosphere para