A construction of hybrid intelligent forecasting systems for financial crises

Analyzed in the financial system early-warning problem and the necessity of the choice artificial intelligence, and proposed the basic structure and explanatory structure for crisis forecasting. In the explanatory structure, according to the knowledge and the data characteristic of the financial crisis forecasting, the crisis forecasting was divided into the choice finance time series, the crisis early-warning and the high-level policy-making three stages. The structures in this paper had four advantages: good explanation ability, dealing with complicated information, dealing with large databases, and the policy-making of hierarchical organization.