Open AccessNew Personal Tax Collection Management System Based on Artificial Intelligence and Its Application in the Middle Class
Author(s) -
Ying Wang,
Pan Wang
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1574/1/012105
Subject(s) - personal income , database transaction , state income tax , income tax , computer science , business , tax revenue , tax reform , economics , public economics , database , economic growth
Personal income tax is a kind of tax that is generally collected by all countries in the world, and it is also one of the important sources of fiscal revenue in China. With the increasing diversity of people’s income, there is a large tax gap under the same income. The purpose of this paper is to study the new personal tax collection management system based on artificial intelligence and its application in the middle class. This paper first introduces the meaning of personal income tax and the new content of the new personal income tax law, and studies the application of the new personal income tax collection system in the middle class. Then this paper studies the algorithm of SVM. Based on this theory, this paper designs and implements a new personal tax collection management system. The system is mainly divided into three functional modules: data source, risk identification, response and query statistics. In this paper, the performance of the system is tested, and the experimental results show that the system designed in this paper can meet the actual needs. When the number of concurrent transactions reaches 200, the average response time of the transaction does not exceed 3 seconds.