Financial distress prediction model via GreyART network and grey model

Lecture Notes in Electrical Engineering

Volumn 67 LNEE, Issue , 2010, Pages 91-100

  Yeh, Ming Feng ^a   Chang, Chia Ting ^b   Leu, Min Shyang ^a  

^a LUNGHWA UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

^b Taipei Municipal Wan Fang Senior High School   (Taiwan)

Author keywords

Adaptive resonant theory; Financial distress prediction model; Grey model; Grey relational analysis; GreyART network

Indexed keywords

ADAPTIVE RESONANT THEORY; FINANCIAL DISTRESS PREDICTION MODEL; GREY MODEL; GREY RELATIONAL ANALYSIS; GREYART NETWORKS;

MATHEMATICAL MODELS; NEURAL NETWORKS;

FINANCE;

EID: 79955503448     PISSN: 18761100     EISSN: 18761119     Source Type: Book Series    
DOI: 10.1007/978-3-642-12990-2_11     Document Type: Conference Paper

References (15)

1. Altman, E.I.: Financial ratios, discriminant analysis and the prediction of corporate bankruptcy. J. Financ. 23(4), 589-609 (1968)
2. Deakin, E.B.: A discriminant analysis of predictors of business failure. J. Account. Res. 10(1), 167-179 (1972)
3. Blum, M.: Fail company discriminant analysis. J. Account. Res. 12(1), 1-25 (1974)
4. Odom, M.D., Sharda, R.: A neural network model for bankruptcy prediction. In: Proc. Int. Joint Conf. Neural Netw., vol. 2, pp. 163-168. IEEE Press, New York (1990)
5. Atiya, A.F.: Bankruptcy prediction for credit risk using neural networks: a survey and new results. IEEE Trans. Neural Netw. 12(4), 929-935 (2001)
6. Kumar, P.R., Ravi, V.: Bankruptcy prediction in banks and firms via statistical and intelligent techniques-a review. Eur. J. Operation Res. 180, 1-28 (2007)
7. Tsai, C.F., Wu, J.W.: Using neural network ensembles for bankruptcy prediction and credit scoring. Expert Syst. Appl. 34, 2639-2649 (2008)
8. Chen, W.S., Du, Y.K.: Using neural networks and data mining techniques for the financial distress prediction model. Expert Syst. Appl. 36, 4075-4086 (2009)
9. Yeh, M.F., Chiang, S.S.: GreyART network for data clustering. Neurocomputing 67, 313-320 (2005)
10. Deng, J.L.: Introduction to grey system theory. J. Grey Syst. 1(1), 1-24 (1989)
11. Carpenter, G.A., Grossberg, S.: ART 2: self-organization of stable category recognition codes for analog input patterns. Appl. Optics. 26(23), 4919-4930 (1987)
12. Taiwan Economic Journal Data Bank, http://www.tej.com.tw/
13. Hsia, K.H., Wu, J.H.: A study on the data preprocessing in grey relational analysis. J. Chinese Grey Syst. 1(1), 47-54 (1998)
14. Li, B.Q.: Three-data modeling of grey system theory. J. Grey Syst. 2(1), 11-20 (1990)
15. Hamerly, G., Elkan, C.: Learning the k in k-means. In: Proc. 17th Ann. Conf. Neural Inform. Process. Syst. MIT Press, Cambridge (2003)