Simulation Model of Enterprise Financial Management Activities Based on the Random Forest Algorithm

Abstract

In the era of information and data, big data and cloud computing have been widely used in all walks of life, especially for promoting the transformation of business model and the financial administration model of corporations. Building various management systems based on the financial sharing center can realize centralized management of business finance and improve enterprise management efficiency. Enterprises must establish a set of perfect financial administration systems to prevent and resolve financial crisis, reduce financial losses and ensure the normal operation of corporations. Based on situational learning theory and simulation experiment technology, this paper constructs a comprehensive simulation experiment system of financial administration and focuses on three key technologies: case decomposition and task-driven, business simulation expansion, and scientific evaluation. Based on the random forest algorithm, a preparation setup model of accounts receivable and payable audit is constructed, and its application in case corporations is analyzed, which provides new ideas for the modern audit work mode and creates a dynamic and open business simulation environment for the financial administration experiment. The results show that the classification accuracy of the improved K-fold random forest algorithm is 1.54% higher than that of the traditional random forest algorithm, and the accuracy of the crisis preparation setup model in predicting the actual enterprise financial crisis reaches 90.327%, which is feasible and effective in the preparation setup of enterprise financial administration and provides a new research idea for the construction of the preparation setup model of enterprise financial administration. Financial management is the core part of enterprise management activities, and it is also an important factor affecting the comprehensive competitiveness of corporations. Therefore, on the basis of fully studying the objective regularity of financial activities, improving the financial administration algorithm, applying the random forest algorithm to enterprise management, and building a perfect management system can comprehensively control the financial administration activities of corporations and realize the innovation of financial administration activities from the aspects of data collection, fund management, and internal control, which is conducive to promoting the continuous improvement of the efficiency of enterprise financial administration.