OPENING THE NEURAL NETWORK BLACK BOX: AN ALGORITHM FOR EXTRACTING RULES FROM FUNCTION APPROXIMATING ARTIFICIAL NEURAL NETWORKS

Proceedings of the 21st International Conference on Information Systems, ICIS 2000

Volumn , Issue , 2000, Pages 176-186

  Setiono, Rudy ^a   Leow, Wee Kheng ^a   Thong, James Y L ^b  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^b HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Hong Kong)

Author keywords

decision rules; knowledge acquisition; Neural networks

Indexed keywords

DECISION TREES; INFORMATION USE; KNOWLEDGE ACQUISITION; PROBLEM SOLVING;

BLACK BOXES; BUSINESS APPLICATIONS; DATA SAMPLE; DECISION RULES; EXTRACTING RULES; FUNCTION APPROXIMATION PROBLEMS; FUNCTIONS APPROXIMATIONS; LINEAR FUNCTIONS; NEURAL-NETWORKS; TRAINED NEURAL NETWORKS;

NEURAL NETWORKS;

EID: 85085075016     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (17)

1. Blake, C. L., and Merz, C. J. UCI Repository of Machine Learning Databases, Dept. of Information and Computer Science, University of California, Irvine, 1998, http://www.ics.uci.edu/~mlearn/MLRepository.html.
2. Coakley, J. R., and Brown, C. E. “Artificial Neural Networks Applied to Ratio Analysis in the Analytical Review Process,” Intelligent Systems in Accounting, Finance and Management (2), 1993, pp. 19-39.
3. Dutta, S., Shekhar, S., and Wong, W. Y. “Decision Support in Non-conservative Domains: Generalization with Neural Networks,” Decision Support Systems (11:5), 1994, pp. 527-544.
4. Ein-Dor, P., and Feldmesser, J. “Attributes of the Performance of Central Processing Units: A Relative Performance Prediction Model,” Communications of the ACM (30:4), 1987, pp. 308-3177.
5. Hertz, J., Krogh, A., and Palmer, R. G. Introduction to the Theory of Neural Computation, Lecture Notes Volume 1, Santa Fe Institute, Studies in the Sciences of Complexity, Santa Fe, NM, 1991.
6. Kilpatrick, D., and Cameron-Jones, M. “Numeric Prediction Using Instance-based Learning with Encoding Length Selection,” Progress in Connectionist-Based Information Systems, Heidelberg: Springer-Verlag, 1998.
7. Kim, C. N., and McLeod, R. Jr. “Expert, Linear Models, and Nonlinear Models of Expert Decision Making in Bankruptcy Prediction: A Lens Model Analysis,” Journal of Management Information Systems (16:1), Summer 1999, pp. 189-206.
8. Pendharkar, P. C., and Rodger, J. A. “An Empirical Study of Non-binary Genetic Algorithm-based Neural Approaches for Classification,” Proceedings of the Twentieth International Conference on Information Systems, P. De and J. I. DeGross (eds.), Charlotte, NC, 1999, pp. 155-165.
9. Quinlan. R. C4.5: Programs for Machine Learning, San Mateo, CA: Morgan Kaufman, 1993.
10. Salchenberger, L. M., Cinar, E. M., and Lash, N. A. “Neural Networks: A New Tool for Predicting Thrift Failures,” Decision Sciences (23:4), July/August 1992, pp. 899-916.
11. Tam, K. Y., and Kiang, M. Y. “Managerial Applications of Neural Networks: The Case of Bank Failure Predictions,” Management Science (38:7), 1992, pp. 926-948.
12. Tana, S. S., and Koh, H. C. “A Multi-layer Perception Model of Credit Scoring for Assessing Default Risk in Charge Card Applicants,” International Journal of Management (14:2), 1997, pp. 250-255.
13. Tickle, A. B., Andrews, R., Golea, M., and Diederich, J. “The Truth Will Come to Light: Directions and Challenges in Extracting the Knowledge Embedded Within Trained Artificial Neural Networks,” IEEE Transactions on Neural Networks (9:6), 1998, pp. 1057-1068.
14. Torgo, L. “Functional Models for Regression Tree Leaves,” Proceedings of International Machine Learning Conference, D. Fisher (ed), San Mateo, CA: Morgan Kaufmann, 1997.
15. Trippi, R. R., and Turban, E. Neural Networks in Finance and Investing, Chicago: Probus Publishing Company, 1993.
16. Walczak, S. “Gaining Competitive Advantage for Trading in Emerging Capital Markets with Neural Networks,” Journal of Management Information Systems (16:2), Fall 1999, pp. 177-192.
17. Wilson, R. L., and Sharda, R. “Bankruptcy Prediction Using Neural Networks,” Decision Support Systems (11:5), June 1994, pp. 545-557.