Design of Enterprise Financial Management Cloud Platform Based on Neural Network Algorithm

Abstract

As the business environment is constantly changing with the ever-changing economic and competitive growth trends, enterprises are more sensitive to market demand. Information management is the first thing that enterprises need to do well in order to effectively and timely communicate with the market, and then determine success or failure. The development and use of enterprise financing system software conform to this trend, which is conducive to implementing information management, and improving management quality and management level. Based on this point, this study designs a set of financial management cloud platform system according to the financial situation of an enterprise in a certain place. According to its business situation and business financial management characteristics, by integrating the neural network principle and Bayesian regularization algorithm, this study puts forward the construction of the Bayesian regularization algorithm based on the neural network model, then analyzes the BP neural network algorithm, evaluates and analyzes the asset management in the process of financial management, and puts forward cloud platform design, system analysis, system framework, etc. The organizational structure and system functions of the platform are introduced in detail for enterprise financial management. Finally, the function and performance of the system are tested in a reasonable testing environment, and the results are empirically analyzed. The test shows that the system is effective in realizing the financial management system, which proves that the financial cloud platform management system developed in this study is suitable for enterprises.