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http://dx.doi.org/10.7232/IEIF.2012.25.3.319

Development of an Early Warning System based on Artificial Intelligence  

Kwon, Byeung-Chun (Graduate School of Public Policy and Information Technology, Seoul National University of Science and Technology)
Cho, Nam-Wook (Department of Industrial and Information System Engineering, Seoul National University of Science and Technology)
Publication Information
IE interfaces / v.25, no.3, 2012 , pp. 319-326 More about this Journal
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.
Keywords
early warning system(EWS); neural network; genetic algorithm; financial crisis; exchange market pressure index(EMPI);
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Times Cited By KSCI : 1  (Citation Analysis)
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