1 |
Van Der Voort, M., M. Dougherty, and S. Watson, "Combining Kohonen maps with arima time series models to forecast traffic flow," Transportation Research Part C: Emerging Technologies, Vol.4, No.5(1996), 307-318.
DOI
|
2 |
Wilson, R. and R. Sharda, "Bankruptcy prediction using neural networks," Decision Support Systems, Vol. 11, No.5(1994), 545-557.
DOI
|
3 |
Zhang, G., Y. M. Hu, E. B. Patuwo, and C. D. Indro, "Artificial neural networks in bankruptcy prediction: general framework and cross-validation analysis," European Journal of Operational Research, Vol.116, No.1 (1999), 16-32.
DOI
|
4 |
Alhoniemi, E., J. Hollmen, O. Simula, and J. Vesanto, "Process monitoring and modeling using the self-organizing map," Integrated Computer-Aided Engineering, Vol.6, No.1 (1999), 3-14.
|
5 |
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(2001), 929-935.
DOI
|
6 |
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
|
7 |
Argenti, J., Corporate Collapse: The Causes and Symptoms, London: McGraw-Hill, 1976.
|
8 |
Beaver, W. H., "Financial ratios as predictors of failure," Journal of Accounting Research, Vol. 4(1966), 71-111.
DOI
|
9 |
Boritz, J. E. and D. B. Kennedy, "Effectiveness of neural networks type for prediction of business failure," Expert Systems with Applications, Vol.9, No.4(1995), 503-512.
DOI
|
10 |
Boyacioglu, M. A., Y. Kara, and O. K. Baykan, "Predicting bank financial failures using neural networks, support vector machines and multivariate statistical methods: A comparative analysis in the sample of savings deposit insurance fund (SDIF) transferred banks in Turkey," Expert Systems with Applications, Vol.36, No.2(2009), 1685-1694.
DOI
|
11 |
Chang, P. C., and T. W. Liao, "Combining SOM and fuzzy rule base for flow time prediction in semiconductor manufacturing theory," Applied Soft Computing, Vol.6, No.2(2006), 198-206.
DOI
|
12 |
Corridoni, J. M., A. Del Bimbo, and L. Landi, "3D object classification using multi-object Kohonen networks," Pattern Recognition, Vol.29, No.6(1996), 919-935.
DOI
|
13 |
Deschenes, C. J. and J. Noonan, "Fuzzy Kohonen network for the classification of transients using the wavelet transform for feature extraction," Information Sciences, Vol.87, No.4(1995), 247-266.
DOI
|
14 |
Fletcher, D. and E. Goss, "Forecasting with neural networks: an application using bankruptcy data," Information and Management, Vol.24, No.3(1993), 159-167.
DOI
|
15 |
Hamer, M., "Failure prediction: Sensitivity of Classification accuracy to alternative statistical method and variable sets," Journal of Accounting and Public Policy, Vol.2, No.4(1983), 159-167.
|
16 |
Hecht-Nielsen, R., "Theory of the backpropagation neural network," Proceedings of 1989 IJCNN International Joint Conference on Neural Networks, (1989), 593-605.
|
17 |
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.
|
18 |
IBM, IBM SPSS Modeler 15 User's Guide, 2012.
|
19 |
Jo, H., I. Han, and H. Lee, "Bankruptcy prediction using case-based reasoning, neural networks, and discriminant analysis," Expert Systems with Applications, Vol.13, No.2(1997), 97-108.
DOI
|
20 |
Rumelhart, D. E., G. E. Hinton, and R. J. Williams, "Learning internal representations by error propagation," CALIFORNIA UNIV SAN DIEGO LA JOLLA INST FOR COGNITIVE SCIENCE, No. ICS-8506 (1985).
|
21 |
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.
|
22 |
Kim, K. J. and I. G. Han, "Bankruptcy Prediction Using Fuzzy Neural Networks," Journal of Intelligence and Information Systems, Vol.7, No.1(2001), 135-147.
|
23 |
Kohonen, T. (1982). Self-organized formation of topologically correct feature maps. Biological Cybernetics, Vol.43, No.1, 59-69.
DOI
|
24 |
Lee, K., D. Booth, and P. Alam, "A comparison of supervised and unsupervised neural networks in predicting bankruptcy of Korean firms," Expert Systems with Applications, Vol.29, No.1(2005), 1-16.
DOI
|
25 |
Lee, S., and W. S. Choi, "A multi-industry bankruptcy prediction model using backpropagation neural network and multivariate discriminant analysis," Expert Systems with Applications, Vol.40, No.8(2013), 2941-2946.
DOI
|
26 |
Leshno, M. and Y. Spector, "Neural network prediction analysis: the bankruptcy case," Neurocomputing, Vol.10, No.2(1996), 125-247.
DOI
ScienceOn
|
27 |
Li, D. C., W. L. Dai, and W. T. Tseng, "A two-stage clustering method to analyze customer characteristics to build discriminative customer management: A case of textile manufacturing business," Expert Systems with Applications, Vol.38, No.6(2011), 7186-7191.
DOI
|
28 |
Martin-del-Brio, B. and C. Serrano-Cinca, "Self-organizing Neural Networks for the Analysis and Representation of Data: Some Financial Cases," Neural Computing and Applications, Vol.1, No.3(1993), 193-206.
DOI
|
29 |
Maher, J. J., and T. K. Sen, "Predicting bond ratings using neural networks: a comparison with logistic regression," Intelligent Systems in Accounting, Finance and Management, Vol.6, No.1(1997), 59-72.
DOI
|
30 |
Mangiameli, P., S. K. Chen, and D. West, "A comparison of SOM neural network and hierarchical clustering methods, European Journal of Operational Research, Vol.93, No.2(1996), 402-417.
DOI
|
31 |
Meyer, P. A. and H. W. Pifer, "Prediction of bank failures," The Journal of Finance, Vol.25, No.4(1970), 853-868.
DOI
|
32 |
Moreno, D., P. Marco, and I. Olmeda, "Self-organizing maps could improve the classification of Spanish mutual funds," European Journal of Operation Research, Vol.174, No.2(2006), 1039-1054.
DOI
|
33 |
Mostafa, M. M., "Shade of green: A psychographic segmentation of the green consumer in Kuwait using self-organizing maps," Expert Systems with Applications, Vol.36, No.8 (2009), 11030-11038.
DOI
|
34 |
Moulton, W. N., H. Tomas, and M. Pruett, "Business failure Pathways: Environmental Stress and Organizational Response," Journal of Management, Vol.22, No.4(1996), 571-595.
DOI
|
35 |
Murtagh, F., "Interpreting the Kohonen self-organizing feature map using contiguity-constrained clustering," Pattern Recognition Letters, Vol. 16, No.4(1995), 399-408.
DOI
|
36 |
Negnevitsky, M., Artificial Intelligence. (2nd ed.), Pearson Education, 2004.
|
37 |
Shin, K.-s. T. S. Lee, and H.-j. Kim, "An application of support vector machines in bankruptcy prediction model," Expert Systems with Applications, Vol.28, No.1(2005), 127-135.
DOI
|
38 |
Odom, M. and R. Sharda, "A neural networks model for bankruptcy prediction," Proceedings of 1990 IJCNN International Joint Conference on Neural Networks, (1990), 163-168.
|
39 |
Ohlson, J., "Financial ratios and the probabilistic prediction of bankruptcy," Journal of Accounting Research, Vol.18(1980), 109-131.
DOI
|
40 |
Ooghe, H. and S. De Prijcker, "Failure processes and causes of company bankruptcy: a typology," Management Science, Vol.46(2008), 223-242.
|
41 |
Shin, K.-s. and I. Han, "Case-based reasoning supported by genetic algorithms for corporate bond rating," Expert Systems with applications, Vol.16, No.2(1999), 85-95.
DOI
|
42 |
Shin, K.-s. and I. Han, "A case-based approach using inductive indexing for corporate bond rating," Decision Support Systems, Vol.32, No.1(2001), 41-52.
DOI
|
43 |
Silver, H. and M. Shmoish, "Analysis of cognitive performance in schizophrenia patients and healthy individuals with unsupervised clustering models," Psychiatry research, Vol.159, No.1(2008), 167-179.
DOI
|
44 |
Tam, K. Y. and M. Y. Kiang, "Managerial applications of neural networks: the case of bank failure predictions," Management Science, Vol.38, No.7(1992), 926-947.
DOI
|
45 |
Tseng, F. M. and Y. C. Hu, "Comparing four bankruptcy prediction models: Logit, quadratic interval logit, neural and fuzzy neural networks," Expert Systems with Applications, Vol.37, No.3(2010), 1846-1853.
DOI
|