Affiliation:
1. School of Digital Commerce, Zhejiang Institute of Mechanical & Electrical Engineering, Zhejiang, Hangzhou 310053, China
Abstract
With the development of supply chain finance, the credit risk of small- and medium-sized financing enterprises from the perspective of supply chain finance has arisen. Risk management is one of the key tasks of the credit business of banks and other financial institutions, which runs through all aspects of the credit business before, during, and after the loan. This article combines blockchain and fuzzy neural network algorithms to study the credit risk of SME financing from the perspective of supply chain finance. This article builds a supply chain financial system through blockchain technology and integrates supply chain financial information into blocks. The fuzzy neural network algorithm is used for financial data processing and risk assessment, effectively solving and improving the risk processing level of the supply chain. Through further simulation, the application effect of blockchain and machine learning algorithms in the supply chain financial system was verified.
Funder
Soft Science Research Project of Zhejiang Province
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems
Cited by
38 articles.
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