Artificial Intelligence and Machine Learning based Financial Risk Network Assessment Model

Abstract

In the vast sea of information, the powerful ability of machine learning(ML) algorithms to identify specific objects through goal guidance makes them stand out from the many methods people use. As a result, ML algorithms are widely used in business decision making. This paper presents a research analysis of financial risk network assessment model(FRNAM)s based on artificial intelligence(AI) and ML algorithms. The main risk sources of supply chain(SC) finance and the integrated risk assessment process are briefly discussed, the risk transmission effect of SC finance is analyzed, and the application of ML algorithms in financial risk assessment(FRA) is studied through the implementation process of ML algorithms and the introduction of decision trees; finally, the risk assessment capability of the FRNAM based on AI and ML is tested with Bank M as the research object. Finally, the risk assessment capability of the FRNAM based on AI and ML was tested with Bank M. The test results verified the effectiveness of the SC FRA model studied in this paper.

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