【Author】 Li, Jing
【Source】ADVANCES IN MULTIMEDIA
【影响因子】0.000
【Abstract】In order to scientifically and reasonably control the financing risk of supply chain enterprises and minimize the financing risk of the enterprises, this paper introduces the relevant theories of machine learning algorithm and blockchain technology, proposes an enterprise financing risk control model based on the combination of machine learning algorithm and blockchain technology, and uses system dynamics to dynamically evaluate the system risk. Finally, the specific changes of each subsystem over time are obtained. Through the risk evaluation results, it can be seen that the risk level of the blockchain system has decreased from the initial 4.3 to 0.3 after two months of transition, and the risk control effect is very significant.
【Keywords】
【发表时间】2022 AUG 3
【收录时间】2022-10-12
【文献类型】理论模型
【主题类别】
区块链应用-虚拟经济-金融领域
【DOI】 10.1155/2022/3084196
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