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Academic Journal of Computing & Information Science, 2022, 5(10); doi: 10.25236/AJCIS.2022.051008.

Bank Failure Analysis Based on BP Neural Network and C-Means Clustering


Yingjian Liang, Jipeng Guo

Corresponding Author:
Yingjian Liang

School of Applied Mathematics, Beijing Normal University, Zhuhai, Guangdong, 519000, China


Banks are an important financial support for national economic development. It can adjust the market economy, adjust the industrial structure, raise funds for national construction, and provide loans to enterprises and individuals who are short of funds. With the downward pressure of economic pressure, some banks' liabilities are higher than assets. With the accumulation of time, liabilities cannot be repaid, and finally they can only end up in bankruptcy. Compared with domestic banks, the phenomenon of international bank bankruptcy is more serious. In order to reduce the occurrence of such events, we need to analyze the causes and current situation of bank bankruptcy.


Entropy right method; Gray correlation; Blur comprehensive evaluation; Neural network model; Cluster analysis

Cite This Paper

Yingjian Liang, Jipeng Guo. Bank Failure Analysis Based on BP Neural Network and C-Means Clustering. Academic Journal of Computing & Information Science (2022), Vol. 5, Issue 10: 48-53. https://doi.org/10.25236/AJCIS.2022.051008.


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