Short Term Prediction Method of Financial Crisis Based on Artificial Intelligence

Abstract

When a large number of enterprises fall into financial crisis at the same time, they will probably trigger a new financial crisis. Therefore, how to effectively predict the financial crisis of enterprises has become an urgent concern. However, the existing financial crisis early warning research mainly focuses on the traditional single classifier financial crisis prediction method, which is lack of systematic researches. Not only the financial crisis prediction method of artificial intelligence single classifier needs to be further expanded, but also ignores the benefits that may be brought about by the combination of multiple classifiers for financial crisis prediction. The important role of expert experience knowledge and non-financial information on the financial crisis early warning is discussed. Under the background of this research, the current rapid development of computer science, artificial intelligence, data mining and group decision-making theory provides a way of thinking for the research of the financial crisis early warning from a new perspective.