Ant Colony Algorithm Used for Bankruptcy Prediction

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.

[1]  Bhaskar D. Kulkarni,et al.  An ant colony classifier system: application to some process engineering problems , 2004, Comput. Chem. Eng..

[2]  Anurag Agarwal,et al.  Predicting the outcome following bankruptcy filing: a three-state classification using neural networks , 1997, Intell. Syst. Account. Finance Manag..

[3]  Clive S. Lennox,et al.  Identifying failing companies: a re-evaluation of the logit, probit and DA approaches , 1999 .

[4]  Hossein Etemadi,et al.  A Genetic Programming Model for Bankruptcy Prediction: Empirical Evidence from Iran , 2009, Expert Syst. Appl..

[5]  Ran Barniv,et al.  Predicting the outcome following bankruptcy filing: a three-state classification using neural networks , 1997, Intell. Syst. Account. Finance Manag..

[6]  Thomas E. McKee,et al.  Genetic programming and rough sets: A hybrid approach to bankruptcy classification , 2002, Eur. J. Oper. Res..

[7]  John J. Perry,et al.  Access to gambling and declaring personal bankruptcy , 2007 .

[8]  Chih-Fong Tsai,et al.  Feature selection in bankruptcy prediction , 2009, Knowl. Based Syst..

[9]  R. W. Melicher,et al.  Predicting corporate bankruptcy and financial distress: Information value added by multinomial logit models , 1994 .

[10]  Ming-Hseng Tseng,et al.  A genetic algorithm rule-based approach for land-cover classification , 2008 .

[11]  Daniel E. O’Leary.  Using neural networks to predict corporate failure , 1998 .

[12]  Luca Maria Gambardella,et al.  Ant Algorithms for Discrete Optimization , 1999, Artificial Life.

[13]  Steven Guan,et al.  Cooperative co-evolution of GA-based classifiers based on input decomposition , 2008, Eng. Appl. Artif. Intell..

[14]  Timothy B. Bell,et al.  Neural nets or the logit model? A comparison of each model’s ability to predict commercial bank failures , 1997 .

[15]  Chun Liu,et al.  Photogrammetry for Remote Sensing , 2010 .

[16]  Farhad Noorbakhsh,et al.  A Modified Human Development Index , 1998 .