Academic Journal of Computing & Information Science, 2022, 5(10); doi: 10.25236/AJCIS.2022.051008.
Yingjian Liang, Jipeng Guo
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
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.
[1] Liu Ting, Berlin. Based on the logical decision map — the deployment spare parts of the main component analysis method determine [J]. Aviation engineering progress, 2012.
[2] Gao Jie; Tian Yunfei; Xu Ying; et al. The application of the main component analysis method in the UUV cluster's anti -water search [J]. Digital ocean and underwater offense and defense, 2022,5 (01).
[3] Xi Xiaoqian; Li Hong; Wang Ruijun; et al. The aspirational evaluation of the corn variety and the gray correlation analysis of the agronomic traits [J]. Agricultural Journal, 2022,12 (04).
[4] He Na; Wang Baoqing; Yan Zhuangzhuang. Comprehensive evaluation and analysis of badminton skills and tactics based on entropy value method and gray association analysis method [J]. Sports science and technology literature notification, 2022, 30 (04).
[5] Gao Han; Fang Panpan; Dou Jingjing; et al. Empirical research based on AHP+fuzzy comprehensive analysis method [J]. Today's wealth (China Intellectual Property), 2020, (07).
[6] Chen Wenjin; Zhu Feng; Zhang Tongyan; et al. Green supply chain evaluation based on fuzzy comprehensive analysis method [J]. Hebei Enterprise, 2019, (12).
[7] Nie Yuanxiu. Photovoltaic power prediction method based on AFSA-BP neural network [J]. Zhejiang Power, 2022,41 (04).
[8] Wu Jiajun; Liu Baomin; Liu Nian. Forecasting of foundation pit based on BP neural network [J]. Journal of Shaoyang College (Natural Science Edition), 2022,19 (01).
[9] Wang Qiuping. The connection between the vague comprehensive judgment and AHP [J]. Journal of Xi'an University of Technology, 1997, (04).
[10] Ye Jianqiang; Blue Tao Chrysanthemum; Huang Zhuozhong; et al. The agronomy traits of different sources and its gray correlation analysis [J]. 2010, (08).
[11] Jin Yi. Looking back at the risk management of banks in Balin Bank's closing dialysis banking industry [J]. Audit observation, 2020, (10).
[12] Ji Fuquan; Sun Qingwen; Sun Zihan. Thinking and revelation of the bankruptcy of the contractor bank [J]. Instrument and meter user, the era of wealth, 2021, (12).
[13] Xing Tianyi; Yin Junwei. U.S. Commercial Bank's bankruptcy disposal experience and revelation [J]. Northern Finance, 2020, (09).
[14] Wang Ping; Gao Liying; Luo Zhenghua; et al. Research on the energy efficiency system based on the related coefficient-entropy power method [J]. 2021, (05).
[15] Li Jiajun; Sun Yajun; Xu Zhimin; et al. Based on fuzzy comprehensive analysis method evaluation and exploration drilling risk [J]. Mining safety and environmental protection, 2015, 42 (06).