A Comprehensive Analysis of Neural Network Technology in the suitable application of Research based on Risk Management

Somya Panchal

Vol. 7, Issue 1, Jan-Dec 2021

Page Number: 154 - 162

Abstract:

The term "neural network technology" refers to an algorithmic application that mimics human thinking by constructing the overall structure from components like connecting arcs and neurons. Neural networks can be used in financial risk management early warning work based on several neurons and specific rules for processing input signals according to several neuron data transfer approximation function layers. This allows the neural networks to process the business's financial information quickly and to analyze the specific situation of the business's finances thoroughly. According to the financial enterprise's financial risk system design, the neural network serves as the core of the financial risk management early warning method for empirical analysis in this paper, which is based on an understanding of the structure of neural networks. The final results demonstrate that the constructed information management system is highly efficient and automated, allowing it to support businesses' financial management effectively.

References

• Yujie Song, “Review on risk Warning and Prevention of Foreign Direct Investment,” Journal of Shandong Institute ofAdministration,2018(01):88-91.
• Peng Wang, Xun Huang, “Research on intelligent early warning of multifractal financial market risk based on Twin-SVM,” Statistical research, 2018, 35(02):3-13.
• Deng J, “Research on the Risk Early Warning of Construction Engineering under the Coupling Disaster of Typhoons and Rainstorms in Coastal Areas Based on BP Neural Network”. Journal of Coastal Research, 2020, 105(sp1).
• Yan Wang, “Analysis on the construction of financial risk early warning system,” Times Finance,2014(27):41-42.
• Hu P, Tang C , Zhao L , et al., “Research on Measurement Method of Spherical Joint Rotation Angle Based on ELM Artificial Neural Network and Eddy Current Sensor”. IEEE Sensors Journal, 2021,PP(99):1-1.
• Jian Cui, Dongru Rong, “Review of financial vulnerability and its risk warning research,” Cooperative Economics and Science andTechnology,2015(15):64-66.
• Yue Shen, Cheng Zhang, “Research on early warning of financial risks in the process of RMB internationalization,” East China economic management, 2015, 29(08):94-101
• Yan X, Deng X , Sun S, “Analysis and Simulation of the Early Warning Model for Human Resource Management Risk Based on the BP Neural Network”. Complexity, 2020
• Yue Shen, Penggang Dong, Shanshen li, “Research on financial risk early-warning system of RMB internationalization,” Economic Review, 2013(08):88-93
• Binqing Xiao, Jianye Yan, Yang Yang, Pu Zhang, “Modeling and Empirical Research of financial security early warning System: Test based on Chinese Data,” International Business (Journal of University of International Business and Economics), 2015(06):97- 106.
• Dechen Ding, “Research on the risk early warning system of commercial banks under the economic new normal,” Macroeconomic Research, 2016(04):124- 134

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