基于SNA、动态演化博弈和贝叶斯学习原理仿真的“互联网+供应链金融”系统风险研究

Ji Lu Liu, Nianjia Hu, Cheng Zhang
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引用次数: 1

摘要

在“互联网+”的背景下,供应链金融的模式和流程发生了深刻的变化。首先,通过社会网络分析,将互联网+供应链金融参与者之间的关联关系直接可视化。其次,根据参与者的不同职能,构建了系统的动态风险演化模型;计算了系统的不稳定解和鞍点;在此基础上,运用贝叶斯学习原理构建了互联网+供应链金融信用违约风险仿真模型,并对仿真模型进行了封装。最后通过数值算例验证了仿真模型运行的方便性、高效性和可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on System Risks of "Internet + Supply Chain Finance" Based on SNA, Dynamic Evolutionary Game, and Bayesian Learning Principle Simulation
Under the background of "Internet +", the supply chain financial model and process have undergone profound changes. Firstly, through the social network analysis, the correlation between the participants in the Internet + supply chain finance is directly visualized. Secondly, the dynamic risk evolution model of the system is constructed based on the different functions between the participants. Unstable solution and saddle points of the system be calculated ; on this basis, Bayesian learning principles are used to build an Internet + supply chain financial credit default risk simulation model, and the simulation model is encapsulated. Finally, a numerical example is used to verify the simulation model operation Convenience, efficiency and reliability.
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