Financial Risk Intelligent Early Warning System of a Municipal Company Based on Genetic Tabu Algorithm and Big Data Analysis

Abstract

This paper proposes an intelligent early warning system for financial risk of listed companies based on genetic tabu algorithm and big data analysis. Establish the role application, analyze and complete the financial risk intelligent early warning system of listed companies and query the analysis results. Through the early warning source data management module, financial early warning module and countermeasure management module, the hardware part of the system is designed, the functional modules are divided, the relationship between the internal functions of the system is clear, and the hierarchical structure and call relationship between the modules are established. The key technology of CBR retrieve the matching case. Genetic tabu algorithm establish fitness function, search fitness measure, optimize attribute weight, and design system software. The experimental results show that the financial risk intelligent early warning system has high early warning accuracy, can effectively shorten the early warning time, and meet the needs of financial risk management of listed companies.