Abstract
To effectively predict financial crisis, this paper presents an early warning system based on artificial intelligence technologies. Both Genetic Algorithms and Neural Networks are utilized for the proposed system. First, a genetic algorithm has been developed for the effective selection of economic indices, which are used for monitoring financial crisis. Then, an optimum weight of the selected indices has been determined by a neural network method. To validate the effectiveness of the proposed system, a series of experiments has been conducted by using the Korean economic indices from 2005 to 2008.
| Translated title of the contribution | Development of an Early Warning System based on Artificial Intelligence |
|---|---|
| Original language | Korean |
| Pages (from-to) | 319-326 |
| Number of pages | 8 |
| Journal | 산업공학(IE interfaces) |
| Volume | 25 |
| Issue number | 3 |
| DOIs | |
| State | Published - Sep 2012 |