Optimization Algorithm of Supply Chain Financial System Based on IoT and Artificial Neural Network

As ANN is more and more widely used in various scientific research fields, the research on its optimization algorithm and application technology has become the key direction in the field of ANN. As a new type of swarm intelligence algorithm, optimization algorithm has attracted the attention of scholars at home and abroad for its advantages of simple calculation and easy implementation, fast convergence speed and good convergence performance. It has been applied to the fields of function optimization, neural network, data mining, fuzzy system control and so on. The financing object of financial supply chain is supply chain member enterprises. According to the popular risk classification table at home and abroad, redefine and classify the risks involved in financial supply chain, explore the specific methods and applications of risk identification, state the credit risk identification system of China’s commercial banks, and propose the risk identification method of financial supply chain based on ANN. According to the characteristics of supply chain financial risk, this paper constructs a risk evaluation index system, and establishes a risk evaluation model by using optimization algorithm and neural network. It shows that the established risk evaluation model can effectively evaluate the financial risk of supply chain.