In the traditional supply chain risk assessment methods, the significance of selecting evaluation indexes is low, which leads to the problems of low fitting and poor accuracy of risk assessment results. This paper proposes a new convolution neural network method to measuring the risk of supply chain. All risk factors in the supply chain are analysed to clarify the relationship between different factors. The determination of the overall risk assessment index is done by identifying the coordination risk, logistics risk, information risk, and capital risk. The determination of the individual risk...
