Title :
Ant Colony Algorithm Used for Bankruptcy Prediction
Author :
Wang, Shuihua ; Wu, Lenan ; Zhang, Yudong ; Zhou, Zhengyu
Author_Institution :
Sch. of Inf. Sci. & Eng., Southeast Univ., Nanjing, China
Abstract :
Bankruptcy prediction is a hot topic. Traditional methods consist of univariate model and multivariate model such as neural network. However, the NNs can not extract effective rules. Thus, a novel approach was proposed in this paper to extract rules. First, t-test method was used to select 5 features from 55 original features. Second, the rule encoding was constructed. Third, the ant colony algorithm was utilized to find the optimal rule. Experiments on 200 corporate demonstrate that this proposed algorithm is effective and rapid.
Keywords :
economic forecasting; finance; optimisation; probability; ant colony algorithm; bankruptcy prediction; multivariate model; neural network; rule encoding; t-test method; univariate model; Biomedical engineering; Biomedical imaging; Brain; Economic forecasting; Information science; Joining processes; Neural networks; Pediatrics; Psychiatry; Psychology; Bankruptcy prediction; ant colony optimization;
Conference_Titel :
Information Science and Engineering (ISISE), 2009 Second International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-6325-1
Electronic_ISBN :
978-1-4244-6326-8
DOI :
10.1109/ISISE.2009.11