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research-article

Research on Supply Chain Financial Risk Assessment Based on Blockchain and Fuzzy Neural Networks

Author:

Yijie Wang Academic Editor:

Chi-Hua ChenAuthors Info & Claims

Wireless Communications and Mobile Computing, Volume 2021

https://doi.org/10.1155/2021/5565980

Published: 01 January 2021 Publication History

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.

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Cited By

Yi ZLiang ZXie TLi F(2023)Financial risk prediction in supply chain finance based on buyer transaction behaviorDecision Support Systems10.1016/j.dss.2023.113964170:COnline publication date: 11-Jul-2023
https://dl.acm.org/doi/10.1016/j.dss.2023.113964
Tian MBouteraa YAlattas KYan SAlanazi AMohammadzadeh AMobayen S(2022)A Type-3 Fuzzy Approach for Stabilization and Synchronization of Chaotic SystemsComplexity10.1155/2022/84379102022Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1155/2022/8437910
Zhang CZhou XWang J(2022)A Financial Risk Early Warning of Listed Companies Based on PCA and BP Neural NetworkMobile Information Systems10.1155/2022/83203292022Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1155/2022/8320329
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Research on Supply Chain Financial Risk Assessment Based on Blockchain and Fuzzy Neural Networks

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Information & Contributors

Information

Published In

cover image Wireless Communications & Mobile Computing

Wireless Communications & Mobile Computing Volume 2021, Issue

2021

14355 pages

ISSN:1530-8669

Issue’s Table of Contents

Copyright © 2021 Yijie Wang.

This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Publisher

John Wiley and Sons Ltd.

United Kingdom

Publication History

Published: 01 January 2021

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Cited By

Yi ZLiang ZXie TLi F(2023)Financial risk prediction in supply chain finance based on buyer transaction behaviorDecision Support Systems10.1016/j.dss.2023.113964170:COnline publication date: 11-Jul-2023
https://dl.acm.org/doi/10.1016/j.dss.2023.113964
Tian MBouteraa YAlattas KYan SAlanazi AMohammadzadeh AMobayen S(2022)A Type-3 Fuzzy Approach for Stabilization and Synchronization of Chaotic SystemsComplexity10.1155/2022/84379102022Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1155/2022/8437910
Zhang CZhou XWang J(2022)A Financial Risk Early Warning of Listed Companies Based on PCA and BP Neural NetworkMobile Information Systems10.1155/2022/83203292022Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1155/2022/8320329
Zang Z(2022)Analysis of Financial Management and Decision-Making in Institution of Higher Learning Based on Deep Learning AlgorithmMobile Information Systems10.1155/2022/56536922022Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1155/2022/5653692
Xie W(2022)Study on Enterprise Financial Risk Prevention and Early Warning System Based on Blockchain TechnologyMobile Information Systems10.1155/2022/44352962022Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1155/2022/4435296
Luo SXing MZhao J(2022)Construction of Artificial Intelligence Application Model for Supply Chain Financial Risk AssessmentScientific Programming10.1155/2022/41945762022Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1155/2022/4194576

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