-
1
-
-
0000032342
-
How effective are neural networks at forecasting and prediction? A review and evaluation
-
Adya M, Collopy F. 1998. How effective are neural networks at forecasting and prediction? A review and evaluation. Journal of Forecasting 17(5-6): 481-495.
-
(1998)
Journal of Forecasting
, vol.17
, Issue.5-6
, pp. 481-495
-
-
Adya, M.1
Collopy, F.2
-
2
-
-
84980104458
-
Financial ratios, discriminant analysis and the prediction of corporate bankruptcy
-
Altman EI. 1968. Financial ratios, discriminant analysis and the prediction of corporate bankruptcy. Journal of Finance 23: 589-609.
-
(1968)
Journal of Finance
, vol.23
, pp. 589-609
-
-
Altman, E.I.1
-
3
-
-
0031521259
-
Credit risk measurement: Developments over the last 20 years
-
Altman EI, Saunders A. 1998. Credit risk measurement: developments over the last 20 years. Journal of Banking and Finance 21(11-12): 1721-1742.
-
(1998)
Journal of Banking and Finance
, vol.21
, Issue.11-12
, pp. 1721-1742
-
-
Altman, E.I.1
Saunders, A.2
-
5
-
-
38649138750
-
Forecasting financial condition of Chinese listed companies based on support vector machine
-
Ding Y, Song X, Zeng Y. 2008. Forecasting financial condition of Chinese listed companies based on support vector machine. Expert Systems with Applications 34(4): 3081-3089.
-
(2008)
Expert Systems with Applications
, vol.34
, Issue.4
, pp. 3081-3089
-
-
Ding, Y.1
Song, X.2
Zeng, Y.3
-
6
-
-
33846454686
-
Predicting corporate financial distress based on integration of support vector machine and logistic regression
-
Hua Z, Wang Y, Xu X, Zhang B, Liang L. 2007. Predicting corporate financial distress based on integration of support vector machine and logistic regression. Expert Systems with Applications 33(2): 434-440.
-
(2007)
Expert Systems with Applications
, vol.33
, Issue.2
, pp. 434-440
-
-
Hua, Z.1
Wang, Y.2
Xu, X.3
Zhang, B.4
Liang, L.5
-
7
-
-
33745625856
-
An application of support vector machine to companies' financial distress prediction
-
Torra V, Narukawa Y, Valls A et al. (eds). Springer: Berlin
-
Hui X-F, Sun J. 2006. An application of support vector machine to companies' financial distress prediction. In Modeling Decisions for Artificial Intelligence, Torra V, Narukawa Y, Valls A et al. (eds). Springer: Berlin: 274-282.
-
(2006)
Modeling Decisions for Artificial Intelligence
, pp. 274-282
-
-
Hui, X.-F.1
Sun, J.2
-
8
-
-
0031199479
-
Bankruptcy prediction using case-based reasoning, neural network and discriminant analysis for bankruptcy prediction
-
Jo H, Han I, Lee H. 1997. Bankruptcy prediction using case-based reasoning, neural network and discriminant analysis for bankruptcy prediction. Expert Systems with Applications 13(2): 97-108.
-
(1997)
Expert Systems with Applications
, vol.13
, Issue.2
, pp. 97-108
-
-
Jo, H.1
Han, I.2
Lee, H.3
-
9
-
-
54949111332
-
Ranking-order case-based reasoning for fi nancial distress prediction
-
Li H, Sun J. 2008. Ranking-order case-based reasoning for fi nancial distress prediction. Knowledge-Based Systems 21(8): 868-878.
-
(2008)
Knowledge-based Systems
, vol.21
, Issue.8
, pp. 868-878
-
-
Li, H.1
Sun, J.2
-
10
-
-
58349092749
-
Majority voting combination of multiple case-based reasoning for fi nancial distress prediction
-
Li H, Sun J. 2009a. Majority voting combination of multiple case-based reasoning for fi nancial distress prediction. Expert Systems with Applications 36(3): 4363-4373.
-
(2009)
Expert Systems with Applications
, vol.36
, Issue.3
, pp. 4363-4373
-
-
Li, H.1
Sun, J.2
-
11
-
-
55249100209
-
Gaussian case-based reasoning for business failure prediction with empirical data in China
-
Li H, Sun J. 2009b. Gaussian case-based reasoning for business failure prediction with empirical data in China. Information Sciences 179(1-2): 89-108.
-
(2009)
Information Sciences
, vol.179
, Issue.1-2
, pp. 89-108
-
-
Li, H.1
Sun, J.2
-
13
-
-
53849129254
-
Financial distress prediction based on OR-CBR in the principle of k-nearest neighbors
-
Li H, Sun J, Sun B-L. 2009. Financial distress prediction based on OR-CBR in the principle of k-nearest neighbors. Expert Systems with Applications 39(1): 643-659.
-
(2009)
Expert Systems with Applications
, vol.39
, Issue.1
, pp. 643-659
-
-
Li, H.1
Sun, J.2
Sun, B.-L.3
-
14
-
-
0035371292
-
A data mining approach to the prediction of corporate failure
-
Lin F-Y, McClean S. 2001. A data mining approach to the prediction of corporate failure. Knowledge-Based Systems 14: 189-195.
-
(2001)
Knowledge-based Systems
, vol.14
, pp. 189-195
-
-
Lin, F.-Y.1
McClean, S.2
-
15
-
-
0348197047
-
Rough sets bankruptcy prediction models versus auditor signaling rates
-
McKee TE. 2003. Rough sets bankruptcy prediction models versus auditor signaling rates. Journal of Forecasting 22(8): 569-586.
-
(2003)
Journal of Forecasting
, vol.22
, Issue.8
, pp. 569-586
-
-
McKee, T.E.1
-
16
-
-
17844363481
-
Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters
-
Min J-H, Lee Y-C. 2005. Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters. Expert Systems with Applications 28: 603-614.
-
(2005)
Expert Systems with Applications
, vol.28
, pp. 603-614
-
-
Min, J.-H.1
Lee, Y.-C.2
-
17
-
-
33744925661
-
Hybrid genetic algorithms and support vector machines for bankruptcy prediction
-
Min S-H, Lee J, Han I. 2006. Hybrid genetic algorithms and support vector machines for bankruptcy prediction. Expert Systems with Applications 31(3): 652-660.
-
(2006)
Expert Systems with Applications
, vol.31
, Issue.3
, pp. 652-660
-
-
Min, S.-H.1
Lee, J.2
Han, I.3
-
18
-
-
0000666375
-
Financial ratios and the probabilistic prediction of bankruptcy
-
Ohlson JA. 1980. Financial ratios and the probabilistic prediction of bankruptcy. Journal of Accounting Research 18: 109-131.
-
(1980)
Journal of Accounting Research
, vol.18
, pp. 109-131
-
-
Ohlson, J.A.1
-
19
-
-
0036776641
-
A case-based reasoning with the feature weights derived by analytic hierarchy process for bankruptcy prediction
-
Park C-S, Han I. 2002. A case-based reasoning with the feature weights derived by analytic hierarchy process for bankruptcy prediction. Expert Systems with Applications 23(3): 255-264.
-
(2002)
Expert Systems with Applications
, vol.23
, Issue.3
, pp. 255-264
-
-
Park, C.-S.1
Han, I.2
-
20
-
-
53049094001
-
DEA as a tool for bankruptcy assessment: A comparative study with logistic regression technique
-
Premachandra IM, Bhabra G, Sueyoshi T. 2009. DEA as a tool for bankruptcy assessment: a comparative study with logistic regression technique. European Journal of Operational Research 192(2): 412-424.
-
(2009)
European Journal of Operational Research
, vol.192
, Issue.2
, pp. 412-424
-
-
Premachandra, I.M.1
Bhabra, G.2
Sueyoshi, T.3
-
21
-
-
50149113096
-
Threshold accepting trained principal component neural network and feature subset selection: Application to bankruptcy prediction in banks
-
Ravi V, Pramodh C. 2008. Threshold accepting trained principal component neural network and feature subset selection: application to bankruptcy prediction in banks. Applied Soft Computing 8(4): 1539-1548.
-
(2008)
Applied Soft Computing
, vol.8
, Issue.4
, pp. 1539-1548
-
-
Ravi, V.1
Pramodh, C.2
-
22
-
-
0035521221
-
Bayesian models for early warning of bank failures
-
Sarkar S, Sriram RS. 2001. Bayesian models for early warning of bank failures. Management Science 47(11): 1457-1475.
-
(2001)
Management Science
, vol.47
, Issue.11
, pp. 1457-1475
-
-
Sarkar, S.1
Sriram, R.S.2
-
23
-
-
33749376158
-
Financial distress prediction based on similarity weighted voting CBR
-
Li X, Zaiane R, Li Z (eds). Springer: Berlin
-
Sun J, Hui X-F. 2006. Financial distress prediction based on similarity weighted voting CBR. In Advanced Data Mining and Applications, Li X, Zaiane R, Li Z (eds). Springer: Berlin; 947-958.
-
(2006)
Advanced Data Mining and Applications
, pp. 947-958
-
-
Sun, J.1
Hui, X.-F.2
-
24
-
-
41749100893
-
Data mining method for listed companies' financial distress prediction
-
Sun J, Li H. 2008. Data mining method for listed companies' financial distress prediction. Knowledge-Based Systems 21(1): 1-5.
-
(2008)
Knowledge-based Systems
, vol.21
, Issue.1
, pp. 1-5
-
-
Sun, J.1
Li, H.2
-
25
-
-
53749101228
-
Financial distress early warning based on group decision making
-
Sun J, Li H. 2009. Financial distress early warning based on group decision making. Computers and Operations Research 36(3): 885-906.
-
(2009)
Computers and Operations Research
, vol.36
, Issue.3
, pp. 885-906
-
-
Sun, J.1
Li, H.2
-
26
-
-
33846660949
-
Using Bayesian networks for bankruptcy prediction: Some methodological issues
-
Sun L, Shenoy PP. 2007. Using Bayesian networks for bankruptcy prediction: some methodological issues. European Journal of Operational Research 180(2): 738-753.
-
(2007)
European Journal of Operational Research
, vol.180
, Issue.2
, pp. 738-753
-
-
Sun, L.1
Shenoy, P.P.2
-
27
-
-
38649113538
-
Using neural network ensembles for bankruptcy prediction and credit scoring
-
Tsai C-F, Wu J-W. 2008. Using neural network ensembles for bankruptcy prediction and credit scoring. Expert Systems with Applications 34(4): 2639-2649.
-
(2008)
Expert Systems with Applications
, vol.34
, Issue.4
, pp. 2639-2649
-
-
Tsai, C.-F.1
Wu, J.-W.2
-
28
-
-
0033074333
-
Probabilistic neural networks in bankruptcy prediction
-
Yang Z, Platt M, Platt H. 1999. Probabilistic neural networks in bankruptcy prediction, Journal of Business Research 44(2): 67-74.
-
(1999)
Journal of Business Research
, vol.44
, Issue.2
, pp. 67-74
-
-
Yang, Z.1
Platt, M.2
Platt, H.3
|