1 |
Finlay, S., "Multiple classifier architectures and their application to credit risk assessment," European Journal of Operational Research, Vol.210(2011), 368-378.
DOI
ScienceOn
|
2 |
Hansen, L. K. and P. Salamon, "Neural network ensembles," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.12, No.10(1990), 993-1001.
DOI
ScienceOn
|
3 |
Hashem, S., "Optimal linear combinations of neural networks," Neural Networks, Vol.10, No.4 (1997), 599-614.
DOI
ScienceOn
|
4 |
Hayashia, Y., and R. Setionob, "Combining neural network predictions for medical diagnosis," Computers in Biology and Medicine, Vol.32 (2002), 237-246.
DOI
ScienceOn
|
5 |
Heskes, T., Balancing between bagging and bumping, In : Mozer, M. C., Jordan, M. I., Petsche, T. (Eds.), Advances in Neural Information Processing Systems 9. Cambridge, MIT Press, (1997), 466-472.
|
6 |
Ho, T. K., J. J. Hull, and S. N. Srihari, "Decision combination in multiple classifier systems," Pattern Analysis and Machine Intelligence, Vol.16, No.1(1994), 66-75.
DOI
ScienceOn
|
7 |
Hong, S. H. and K. S. Shin, "Using GA based Input Selection Method for Artificial Neural Network Modeling Application to Bankruptcy Prediction," Journal of Intelligence and Information Systems, Vol.9, No.1(2003), 227-249.
과학기술학회마을
|
8 |
Abdelwahed, T. and E. M. Amir, "New Evolutionary Bankruptcy Forecasting Model based on Genetic Algorithms and Neural Networks," Proceedings of the 17th IEEE International Conference on Tools with Artificial Intelligence, (2005).
|
9 |
Alfaro, E., N. Garcia, M. Gamez, and D. Elizondo, "Bankruptcy forecasting : an empirical comparison of AdaBoost and neural networks," Decision Support Systems, Vol.45(2008), 110-122.
DOI
ScienceOn
|
10 |
Altman, E. I., "Financial Ratios, Discriminant Analysis and the Prediction of Corporate Bankruptcy," The Journal of Finance, Vol.23, No.4(1968), 589-609.
DOI
|
11 |
Back, B., T. Laitinen, and K. Sere, "Neural networks and genetic algorithms for bankruptcy predictions," Expert Systems with Applications, Vol.11(1996), 407-413.
DOI
ScienceOn
|
12 |
Beaver, W., "Financial Ratios as Predictors of Failure, Journal of Accounting Research, Vol.4(1966), 71-111.
DOI
ScienceOn
|
13 |
Breiman, L., "Bagging predictors," Machine Learning, Vol.24, No.2(1996), 497-501.
|
14 |
Chan, A. P. F., W. Y. Ng, D. S. Yeung, E. C. C. Tsang, and M. Firth, "Bankruptcy prediction using multiple classifier system with mutual information feature grouping," IEEE international conference on systems, man, and cybernetics, (2006), 845-850.
|
15 |
Wahba, G., "Support vector machines, reproducing kernel Hilbert spaces and the randomized GACV," Technical Report, NO.984rr, Department of Statistics, University of Wisconsin, 1998.
|
16 |
Verikas, A., A. Lipnickas, K. Malmqvist, M. Bacauskiene, and A. Gelzinis, "Soft combination of neural classifiers : A comparative study," Pattern Recognition Letters, Vol.20 (1999), 429-444.
DOI
ScienceOn
|
17 |
Verikas, A., Z. Kalsyte, M. Bacauskiene, and A. Gelzinis, "Hybrid and ensemble-based soft computing techniques in bankruptcy prediction : a survey," Soft Computing, Vol.14 (2010), 995-1010.
DOI
|
18 |
Wahba, G., Multivariate function and operator estimation, based on smoothing splines and reproducing kernels, Nonlinear Modeling and Forecasting, SFI Studies in the Sciences of Complexity, Proc. Vol.XII, Eds. M. Casdagli and S. Eubank, Addison-Wesley, 1992.
|
19 |
Xu, L., A. Krzyzak, and C. Y. Suen, "Methods for combining multiple classifiers and their applications to handwriting recognition," IEEE Transactions on Systems, Man, and Cybernetics, Vol.22(1992), 418-435.
DOI
ScienceOn
|
20 |
Olmeda, I. and E. Fernandez, "Hybrid classifiers for financial multicriteria decision making_the case of bankruptcy prediction," Computational Economics, Vol.10(1997), 317-335.
DOI
|
21 |
Pal, S. K. and A. Pal, Pattern Recognition : From Classical to Modern Approaches, World Scientific, 2001.
|
22 |
Platt, J. C., Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods, In Advances in large margin classifiers, Alexander J. S., P. Bartlett, B, Scholkopf, D. Schuurmans, eds., Cambridge, MIT Press, 1999.
|
23 |
Ravi, V., H. Kurniawana, P. Thaia, and P. Kumarb, "Soft computing system for bank performance prediction," Applied Soft Computing, Vol.8 (2008), 305-315.
DOI
ScienceOn
|
24 |
Sewell, M., "Ensemble Learning," Research Note, RN/11/02, Dept. of Computer Science, UCL, 2011.
|
25 |
Shin, K. S. and K. J. Lee, "Bankruptcy Prediction Modeling Using Multiple Neural Network Models," Lecture Notes in Computer Science, Vol.3214(2004), 668-674.
|
26 |
Taniguchi, M. and V. Tresp, "Averaging regularized estimators," Neural Computation, Vol.9(1997), 1163-1178.
DOI
ScienceOn
|
27 |
Shmueli, G., N. R. Patel, and P. C. Bruce, Data Mining for Business Intelligence : Concepts, Techniques, and Applications in Microsoft Office Excel With Xlminer, Hardcover, 2nd Edition, Wiley, 2010.
|
28 |
Sun, J. and Li, h. "Listed companies' financial distress prediction based on weighted majority voting combination of multiple classifiers," Expert Systems with Applications, Vol.35 (2008), 818-827.
DOI
ScienceOn
|
29 |
Tai, Q. Y. and K. S. Shin, "GA-based Normalization Approach in Back-propagation Neural Network for Bankruptcy Prediction Modeling," Journal of Intelligence and Information Systems, Vol.16, No.3(2010), 1-14.
|
30 |
Tsai, C. F. and J. W. Wu, "Using Neural Network Ensembles for Bankruptcy Prediction and Credit Scoring," Expert Systems with Applications, Vol.34(2008), 2639-2649.
DOI
ScienceOn
|
31 |
Jo, H. K. and I. G. Han, "Integration of Case-Based Forecasting, Neural Network, and Discriminant Analysis for Bankruptcy Prediction," Expert Systems With Applications, Vol.2, No.4(1996), 415-422.
|
32 |
Jo, H. K., I. G. Han, and H. Lee, "Bankruptcy prediction using case-based reasoning, neural networks, and discriminant analysis," Expert Systems With Applications, Vol.13(1997), 97-108.
DOI
ScienceOn
|
33 |
Kim, M. J. and D. K. Kang, "Ensemble with neural networks for bankruptcy prediction," Expert Systems with Applications, Vol.37(2010), 3373-3379.
DOI
ScienceOn
|
34 |
Kuncheva, L. I., Combining pattern classifiers : Methods and algorithms, Hoboken, New Jersey, John Wiley & Sons, 2004.
|
35 |
Leshno, M. and Y. Spector, "Neural network prediction analysis : The bankruptcy case," Neurocomputing, Vol.10(1996), 125-147.
DOI
ScienceOn
|
36 |
Ruta, D. and B. Gabrys, "An Overview of Classifier Fusion Methods," Computing and Information Systems, Vol.7(2000), 1-10.
|
37 |
Lin, F. Y. and S. McClean, "A data mining approach to the prediction of corporate failure," Knowledge-Based Systems, Vol.14(2001), 189-195.
DOI
ScienceOn
|
38 |
Mar-Molinero, C. and C. Serrano-Cinca, "Bank failure : a multidimensional scaling approach," The European Journal of Finance, Vol.7 (2001), 165-183.
DOI
ScienceOn
|
39 |
Neophytou, E. and C. Mar-Molinero, "Predicting Corporate Failure in the UK : A Multidimensional Scaling Approach," Journal of Business Finance and Accounting, Vol.31 (2004), 667-710.
|
40 |
Odom, M. and R. Sharda, "A neural network model for bankruptcy prediction," Proc. Int. Joint Conf. Neural Networks, San Diego, CA, (1990).
|
41 |
Ohlson, J., "Financial ratios and the probabilistic prediction of bankruptcy," Journal of Accounting Research, Vol.18, No.1(1980), 109-131.
DOI
ScienceOn
|
42 |
IBM SPSS Modeler Help, Modeling Nodes, Neural Networks, embedded in IBM SPSS Modeler, (2012).
|
43 |
Chen, W. S. and Y. K. Du, "Using Neural Networks and Data Mining Techniques for the Financial Distress Prediction Model," Expert Systems with Applications, Vol.36(2009), 4075-4086.
DOI
ScienceOn
|
44 |
Cho, S. B. and J. H. Kim, "Combining multiple neural networks by fuzzy integral for robust classification," IEEE Transactions on System, Man, and Cybernetics, Vol.25, No.2(1995), 380-384.
DOI
ScienceOn
|
45 |
Clemen, R. T., "Combining forecasts : A review and annotated bibliography," International Journal of Forecasting, Vol.5(1989), 559-583.
DOI
ScienceOn
|
46 |
Duda, R. O., P. E. Hart, and D. G. Stork, Pattern Classification, 2nd ed. John Wiley & Sons, NY, 2001.
|
47 |
Kim, K. J, "Data Mining using Instance Selection in Artificial Neural Networks for Bankruptcy Prediction," Journal of Intelligence and Information Systems, Vol.10, No.1(2004), 109-123.
과학기술학회마을
|
48 |
West, D., S. Dellana, and J. Qian, "Neural network ensemble strategies for financial decision applications," Computers and Operations Research, Vol.32(2005), 2543-2559.
DOI
ScienceOn
|
49 |
Atiya, A. F., "Bankruptcy Prediction for Credit Risk Using Neural Networks : A Survey and New Results," IEEE transactions on neural networks, Vol.12, No.4(July, 2001), 929-935.
DOI
ScienceOn
|
50 |
Freund, Y. and R. E. Schapire, "A decisiontheoretic generalization of on-line learning and an application to boosting," Unpublished manuscript. Quoted in Quinlan, J.R., "Bagging, boosting, and C4. 5," Proceedings of the National Conference on Artificial Intelligence, (1996).
|
51 |
Shin, K. S. and I. G. Han, "Bankruptcy Prediction Modeling Using Multiple Neural Network Models," Proceedings of the Fall Conference on the Korean Operations Research and Management Science Society (KORMS), (1998), 145-148.
|