A comparison of supervised and unsupervised neural networks in predicting bankruptcy of Korean firms

被引:134
作者
Lee, KD
Booth, D [1 ]
Alam, P
机构
[1] Kent State Univ, Coll Business Adm, Dept Management & Informat Syst, Kent, OH 44242 USA
[2] Univ Incheon, Coll Business Adm, Inchon 420749, South Korea
[3] Kent State Univ, Coll Business Adm, Dept Accounting, Kent, OH 44242 USA
关键词
supervised network; unsupervised network; bankruptcy prediction; Kohonen self-organizing feature map;
D O I
10.1016/j.eswa.2005.01.004
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this study, two learning paradigms of neural networks, supervised versus unsupervised, are compared using their representative types. The back-propagation (BP) network and the Kohonen self-organizing feature map, selected as the representative type for supervised and unsupervised neural networks, respectively, are compared in terms of prediction accuracy in the area of bankruptcy prediction. Discriminant analysis and logistic regression are also performed to provide performance benchmarks. The findings suggest that the BP network is a better choice when a target vector is available. (c) 2005 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1 / 16
页数:16
相关论文
共 47 条
[1]   The use of fuzzy clustering algorithm and self-organizing neural networks for identifying potentially failing banks: an experimental study [J].
Alam, P ;
Booth, D ;
Lee, K ;
Thordarson, T .
EXPERT SYSTEMS WITH APPLICATIONS, 2000, 18 (03) :185-199
[2]   FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND PREDICTION OF CORPORATE BANKRUPTCY [J].
ALTMAN, EI .
JOURNAL OF FINANCE, 1968, 23 (04) :589-609
[3]  
[Anonymous], 1992, COMPLEXITY
[4]  
[Anonymous], 1990, P IEEE INT C NEURAL, DOI DOI 10.1109/IJCNN.1990
[5]   AN EMPIRICAL CRITIQUE OF IN SEARCH OF EXCELLENCE - HOW EXCELLENT ARE THE EXCELLENT COMPANIES [J].
AUPPERLE, KE ;
BOOTH, DE .
JOURNAL OF MANAGEMENT, 1986, 12 (04) :499-512
[6]   FINANCIAL RATIOS AS PREDICTORS OF FAILURE [J].
BEAVER, WH .
JOURNAL OF ACCOUNTING RESEARCH, 1966, 4 :71-111
[7]  
BERARDI V, 1988, THESIS KENT STATE U
[8]  
BOOTH D, 1982, DECISION SCI, V13, P72
[9]  
Booth D. E., 1992, International Journal of Operations & Production Management, V12, P15, DOI 10.1108/01443579210009023
[10]   A ROBUST MULTIVARIATE PROCEDURE FOR THE IDENTIFICATION OF PROBLEM SAVINGS AND LOAN INSTITUTIONS [J].
BOOTH, DE ;
ALAM, P ;
AHKAM, SN ;
OSYK, B .
DECISION SCIENCES, 1989, 20 (02) :320-333