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.

中文翻译：

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基于人工智能的税务管理系统建模方法

税收流程的转型及其管理系统的优化和建模是公共管理和计算机科学等许多学科的热门话题。因此，智能税务管理被用于实施税务流程。同时，采用税收指标作为自变量，采用Logistic回归模型对选取的案例进行检验确定企业信息，进一步根据选取结果剔除相关性较差的指标，得到更准确的模型。此外，应用系统模块化设计方法，对系统实现的具体功能过程进行详细设计和规划，建立必要的可形成的业务功能。而且，测试过程是根据税务管理模块的功能和性能的模拟测试来进行的。实践证明，论文设计模块的应用水平能够满足当前需求，具备智能数据分析判别能力，可在税务管理范围内推广。