Construction of Coal Enterprise Financial Management Model Based on Improved Particle Swarm Optimization

The marketization, informatization, and diversification of industrial structure in coal enterprises have led to the emergence of prominent financial management issues. Consequently, the existing financial management model is encountering fresh challenges due to the rapid progress of informatization. Coal enterprises should change their financial management mode, strengthen the deepening application of the key information system of financial main business, provide accurate financial information for managers at all levels of enterprises in time, and assist in decision-making, so as to finally improve the market competitiveness of enterprises. In this paper, through the research on information management of financial management of coal enterprises, a financial management model of coal enterprises based on improved particle swarm optimization (PSO) is constructed, and the leading role of financial management information in the construction of coal enterprises is realized. The results show that, compared with the traditional financial risk prediction algorithm, the recall rate of the coal enterprise financial decision model in this paper has increased by 15.66% and the accuracy rate has increased by 24.83%. Enterprise financial data is extremely sensitive. Therefore, it is necessary to collect data security information and combine it with financial system in all aspects of data processing, sum up the experience of financial data management in coal enterprises, and make meaningful management and use.