Title: Study of corporate management financial early warning combining BP algorithm and KLR

Authors: Xiaoli Yu

Addresses: School of Economics and Management, Yiwu Industrial and Commercial College, Yiwu, 322000, China

Abstract: China has a large number of small and micro enterprises, which are an important part of our market economy. The study analyses the causes of enterprise financial crises from internal factors and external factors, and constructs an early warning system for enterprise management financial crises (FCWS) based on the analysis results. To address the shortcomings of traditional early warning methods in terms of low accuracy and efficiency, the study combines signal analysis model (KLR) and BP neural network (BPNN) to build a KLR-BP enterprise management financial crisis early warning model. The performance of the KLR-BP model was tested using the financial data of 50 micro and small enterprises over the years, and the accuracy of the model exceeded 95%. Thus, the KLR-BP model can be practically applied to enterprise management financial early warning and make a certain contribution to the development of China's market economy.

Keywords: BPNN; KLR model; financial early warning; market economy.

DOI: 10.1504/IJCIS.2025.143951

International Journal of Critical Infrastructures, 2025 Vol.21 No.1, pp.87 - 103

Received: 07 Apr 2023
Accepted: 22 Jul 2023
Published online: 15 Jan 2025 *