Research on risk Prediction of enterprise Financial management based on optimized BP neural network algorithm

Authors

  • Zhiqi Tan

DOI:

https://doi.org/10.56028/aetr.2.1.427

Keywords:

BP neural network algorithm; Enterprise; Financial management; Risk prediction

Abstract

 The construction and development of the new age, although our country enterprise quantity is increasing, but the financial risk is also increased, so how to do a good job in risk prediction and management decisions, truly achieve expected set of financial management goal, improve the ability of enterprises to cope with risk consciousness, is the enterprise leadership and management of the main problems are discussed. Enterprise financial risk management is an important part of enterprise management. Financial personnel should accurately predict the possible risks of financial management and formulate effective risk prevention and control and solutions when integrating and analyzing relevant data, so as to ensure that enterprises can achieve sustainable development goals. Therefore, this paper takes 53 listed enterprises as an example, on the basis of understanding the risk prediction method of enterprise financial management in recent years, according to the BP neural network algorithm after optimization, in-depth discussion on how to optimize the BP neural network algorithm as the core, do a good job in the risk prediction of enterprise financial management. The final experimental results show that BP neural network algorithm has research value in the risk prediction of enterprise financial management.

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Published

2022-09-24