Modeling Method of Tax Management System Based on Artificial Intelligence

The transformation of taxation processes and the optimization and modeling of their management systems are hot topics in many disciplines such as public management and computer science. Therefore, the intelligent tax management is used to implement the tax process. Meanwhile, tax indicators are adopted as independent variables, and the Logistic regression model is applied to check the selected cases to determine corporate information, which further eliminates less relevant indicators based on the selection results to obtain a more accurate model. In addition, the system modularization design method is applied to design and plan the specific function process of system realization in detail, establishing the necessary business function which can be formed. Moreover, the test process is performed according to the simulation test of the function and the performance of the tax management module. It is proved that the application level of the design module in the paper can meet the current needs, and has the ability of intelligent data analysis and discrimination, which can be promoted within the scope of tax management.