Enterprise financial risk intelligent control system based on artificial intelligence algorithm

Abstract

In order to overcome the problems of low precision and poor stability of financial risk data mining in traditional enterprise financial risk control system, this paper proposes a new enterprise financial risk intelligent control system based on artificial intelligence algorithm. Combined with B/S three-tier structure and MVC architecture, the overall structure of the system is designed. According to the overall structure of the system, the system hardware is designed to meet the operation and use needs of the system. The system hardware module mainly includes user registration module, financial risk degree judgment module and data warehouse module. Through the coordination of each module, the overall operation performance of the system can be improved. In the software part of the system, the artificial intelligence algorithm is used to fully mine the enterprise financial risk data, and the financial risk management and control model is constructed to realize the intelligent management and control of financial risk. The experimental results show that, compared with the traditional risk management and control system, the designed system has higher accuracy of financial risk data mining, and can improve the stability of the system.