Financial Data Prediction based on Intelligent Support Vector Machine Regression Model

The role of regression model in financial data prediction is very important, but there is a problem of inaccurate prediction results. Ordinary methods cannot solve the regression model problem of financial data prediction, and the prediction results are unreasonable. Therefore, this paper proposes an intelligent support vector machine for regression model analysis. Firstly, the computer is used to classify the data twice, and the indicators are divided according to the requirements of the regression model to reduce the regression model in the interfering factor. Then, the computer identifies the regression model, forms a regression model scheme, and performs on the regression model results Comprehensive analysis. MATLAB simulation shows that the regression model RI intelligent support vector machine on ILQDQFLDO GDWD under certain evaluation criteria The calculation accuracy and calculation time are better than ordinary methods.