A Convolutional Neural Network-Based Model for Supply Chain Financial Risk Early Warning

Abstract

At present, there are widespread financing difficulties in China's trade circulation industry. Supply chain finance can provide financing for small- and medium-sized enterprises in China’s trade circulation industry, but it will produce financing risks such as credit risks. It is necessary to analyze the causes of the risks in the supply chain finance of the trade circulation industry and measure these risks by establishing a credit risk assessment system. In this article, a supply chain financial risk early warning index system is established, including 4 first-level indicators and 29 third-level indicators. Then, on the basis of the supply chain financial risk early warning index system, combined with the method of convolution neural network, the supply chain financial risk early warning model of trade circulation industry is constructed, and the evaluation index is measured by the method of principal component analysis. Finally, the relevant data of trade circulation enterprises are selected to make an empirical analysis of the model. The conclusion shows that the supply chain financial risk early warning model and risk control measures established in this article have certain reference value for the commercial circulation industry to carry out supply chain finance. It also provides guidance for trade circulation enterprises to deal with supply chain financial risks effectively.

Research on the Risk Contagion Path and Prevention of Supply Chain Finance Based on DEMATEL-ISM Model

“…[14], [15] fierce competition in the industry where core enterprises are located(S 14 ) [7] Weak awareness of environmental protection in enterprises (S 15 )…”

Prediction of Unbalanced Financial Risk Based on GRA-TOPSIS and SMOTE-CNN

“…Abudureheman et al built a performance evaluation of enterprise innovation capability based on fuzzy system model and convolutional neural network, which was significant to promote enterprise development [22]. Yin et al built a convolutional neural network model to supply chain financial risk early warning, but the enterprises were divided into two categories only according to whether they are "ST," and the sample is small [23]. Besides, more and more companies are introducing deep learning into their financial management.…”

Retracted: A Convolutional Neural Network-Based Model for Supply Chain Financial Risk Early Warning

“…This article has been retracted by Hindawi following an investigation undertaken by the publisher [ 1 ]. This investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process: Discrepancies in scope Discrepancies in the description of the research reported Discrepancies between the availability of data and the research described Inappropriate citations Incoherent, meaningless and/or irrelevant content included in the article Peer-review manipulation …”