High-performance bankruptcy prediction model using Graphics Processing Units

Proceedings of the International Joint Conference on Neural Networks

Volumn , Issue , 2010, Pages

  Ribeiro, Bernardete ^a   Lopes, Noel ^b   Silva, Catarina ^c  

^a UNIVERSITY OF COIMBRA   (Portugal)

^b POLYTECHNIC INSTITUTE OF GUARDA   (Portugal)

^c POLYTECHNIC INSTITUTE OF LEIRIA   (Portugal)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER GRAPHICS; COMPUTER GRAPHICS EQUIPMENT; LEARNING SYSTEMS; PROGRAM PROCESSORS;

BANKRUPTCY PREDICTION; COMPUTATIONAL POWER; FINANCIAL APPLICATIONS; HIGH-DIMENSIONAL; HIGHER-DIMENSIONAL; MACHINE LEARNING TECHNIQUES; PERFORMANCE; PREDICTION MODELLING; PROGRAMMABILITY; RESEARCH COMMUNITIES;

GRAPHICS PROCESSING UNIT;

EID: 79959475722     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2010.5596711     Document Type: Conference Paper

References (18)

1. E. I. Altman. Financial ratios, discriminant analysis and the prediction of corporate bankruptcy. Journal of Finance, 23(4):589-609, September 1968.
2. E. I. Altman. Corporate Financial Distress and Bankruptcy: A Complete Guide to Predicting and Avoiding Distress and Profiting from Bankruptcy. John Wiley & Sons, 2nd edition, 1993.
3. J.A. Anderson, C.D. Lorenz, and A. Travesset. General purpose molecular dynamics simulations fully implemented on graphics processing units. J. Computational Physics, 227(10):5342-5359, 2008.
4. A.F. Atiya. Bankruptcy prediction for credit risk using neural networks: A survey and new results. Neural Networks, IEEE Transactions on, 12(4):929-935, Jul 2001.
5. A. Brandstetter and A. Artusi. Radial basis function networks GPU based implementation. IEEE Transactions on Neural Networks, 19(12):2150-2154, 2008.
6. T. Brandvik and G. Pullan. Acceleration of a 3D euler solver using commodity graphics hardware. In 48th AIAA Aerospace Sciences Meeting and Exhibit, page 607. AIAA Press, 2008.
7. S. Che, M. Boyer, J. Meng, D. Tarjan, J.W. Sheaffer, and K. Skadron. A performance study of general-purpose applications on graphics processors using CUDA. Journal of Parallel and Distributed Computing, 68(10):1370-1380, 2008.
8. Huang Fu-yuan. A genetic fuzzy neural network for bankruptcy prediction in chinese corporations. In International Conference on Risk Management & Engineering Management (ICRMEM '08), pages 542-546, Nov. 2008.
9. Noel Lopes and Bernardete Ribeiro. An efficient gradient-based learning algorithm applied to neural networks with selective actuation neurons. Neural, Parallel and Scientific Computations, 11:253-272, 2003.
10. Noel Lopes and Bernardete Ribeiro. GPU implementation of the multiple back-propagation algorithm. In Proceedings of Intelligent Data Engineering and Automated Learning, pages 449-456. LNCS, Springer-Verlag, 2009.
11. NVIDIA. Graphics hardware specifications, available [on line]: http://www.nvidia.com. 2006.
12. K.-S. Oh and K. Jung. GPU implementation of neural networks. Pattern Recognition, 37(6):1311-1314, 2004. (Pubitemid 38549830)
13. G.A. Rekba Pai, R. Annapoorani, and G.A. Vijayalakshmi Pai. Performance analysis of a statistical and an evolutionary neural network based classifier for the prediction of industrial bankruptcy. In IEEE Conference on Cybernetics and Intelligent Systems, volume 2, pages 1033-1038, 2004.
14. P. Ravi Kumar and V. Ravi. Bankruptcy prediction in banks and firms via statistical and intelligent techniques - a review. European Journal of Operational Research, 180(1):1-28, July 2007.
15. B Ribeiro, C Silva, A Vieira, and J Carvalho das Neves. Extracting discriminative features using non-negative matrix factorization in financial distress data. In M. Kolehmainen et al. (Eds.), editor, Int Conf on Adaptive and Natural Computing Algorithms, volume 4432, pages 537-547, Berlin Heidelberg, April 2009. Lecture Notes in Computer Science (LNCS), Springer-Verlag.
16. B Ribeiro, A Vieira, J Duarte, C Silva, J C das Neves, Q Liu, and A H. Sung. Learning manifolds for bankruptcy analysis. In M. Köppen et al. (Eds.), editor, Int. Conf. on Neural Information Processing, volume 5506, pages 722-729, Berlin Heidelberg, 2009. Lecture Notes in Computer Science (LNCS), Springer-Verlag.
17. Sam S. Stone, Haoran Yi, Justin P. Haldar, Wen-Mei W. Hwu, Bradley P. Sutton, and Zhi-Pei Liang. Accelerating advanced MRI reconstructions on GPUs. In 5th International Conference on Computing Frontiers, 2008.
18. V. Volkov and J.W. Demmel. LU, QR and Cholesky factorizations using vector capabilities of GPUs. Technical Report EECS-2008-49, EECS Dept., Univ. of Calif., Berkeley, 2008.