Research on the Model of Tax Revenue Forecast of Jilin Province Based on Gray Correlation Analysis

The tax revenue forecast is the main basis for the national and local tax operation plan and the deployment of the next year. According to the related indicators of national economy of local tax revenue in Jilin Province, using gray correlation analysis for correlation analysis of main economic indicators, to identify the main factors and secondary factors of impact of tax. simultaneously, the tax revenue of Jilin Province in 1980 -2012 years is as the input samples, the local tax revenue prediction model is established in Jilin province, combined with the support vector machine technology. The simulation results show that, the model owns better prediction effect and stronger generalization ability, and its Root mean square errors of Cross-Validation (RMSECV) and average relative prediction error (RME) were respectively 0.5766 and 0.0123. The research can provide a theoretical basis and technical support for the scientific and accurate formulation of tax forecasting and tax planning.