Using a clustering genetic algorithm for rule extraction from artificial neural networks

Proceedings of the 1st IEEE Symposium on Combinations of Evolutionary Computation and Neural Networks

Volumn , Issue , 2000, Pages 199-206

  Hruschka, E R ^a   Ebecken, N F F ^a  

^a FEDERAL UNIVERSITY OF RIO DE JANEIRO   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA MINING; EVOLUTIONARY ALGORITHMS; EXTRACTION; GENETIC ALGORITHMS; NEURAL NETWORKS;

CLUSTERING GENETIC ALGORITHMS; CONSISTENT ALGORITHM; DATA MINING APPLICATIONS; EXPLICIT KNOWLEDGE; INITIAL POPULATION; KNOWLEDGE ACQUIREMENT; RULE EXTRACTION FROM NEURAL NETWORKS; SUPERVISED NEURAL NETWORKS;

CLUSTERING ALGORITHMS;

EID: 16244393822     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ECNN.2000.886235     Document Type: Conference Paper

References (32)

1. HRUSCHKA, E.R., EBECKEN, N. F. F., "Rule Extraction from Neural Networks: Modified RX Algorithm", Proceedings of the International Joint Conference on Neural Networks (IJCNN), IEEE Press, Washington DC, 1999.
2. CRAVEN, M. W., SHAVLIK, J. W., "Using Neural Networks for Data Mining", Future Generation Computer Systems, 1997.
3. FU, L. Neural Networks in Computer Intelligence, First edition, McGraw-Hill Inc., USA, 1994.
4. ANDREWS, R., DIEDERICH, J., TICKLE, A. B. "A Survey and Critique of Techniques for Extracting Rules from Trained Artificial Neural Networks", Knowledge Based Systems, 8(6), pp. 373-389, 1995.
5. SHAVLIK, J. "An Overview of Research at Wisconsin on Knowledge-Based Neural Networks", Proceedings of the International Conference on Neural Networks, 1996.
6. NARAZAKI, H., SHIGAKI, I., WATANABE, T. "A Method for Extracting Approximate Rules from Neural Network", IEEE Press, 1995.
7. KANE, R., MILGRAM, M. "Financial Forecasting and Rules Extraction from Trained Networks", IEEE Press, pp. 3190-3195, 1994.
8. NARAZAKI, H., WATANABE, T., YAMAMOTO, M.,"Reorganizing Knowledge in Neural Networks: An Explanatory Mechanism for Neural Networks in Data Classification Problems", IEEE Transactions on Systems, Man. and Cybernetics, v.26, n. 1, pág. 107-117, Feb., 1996.
9. SETHI, I, YOO, J., "Multivalued Logic Mapping of Neurons in Feedforward Networks", Engineering Intelligent Systems, v.4, n.4, pp. 243-253, 1996.
10. CRAVEN, M. W., SHAVLIK, J. W., "Extracting Tree-Structured Representations of Trained Networks", Advances in Neural Information Processing Systems, v.8, MIT Press, Cambridge, MA, 1996.
11. TAHA, I., GHOSH, J. "Symbolic Interpretation of Artificial Neural Networks", IEEE Transactions on Knowledge and Data Engineering, Sep. 1996.
12. TAHA, I., GHOSH, J. "Three Techniques for Extracting Rules from Feedforward Networks", Intelligent Engineering Systems Through Artificial Neural Networks, v.6, ASME Press, Nov. 1996.
13. TAHA, I., GHOSH, J., "A Hybrid Intelligent Architecture and Its Application to Water Reservoir Control", Journal of Smart Engineering Systems, October 1996.
14. OLIVEIRA, J. P., ULIANA, P. B., LIMA, W. C., "Algoritmos de Extração de Regras de Redes Neurais Artificiais". In: Anais do III Congresso Brasileiro de Redes Neurais, pág 173-177, Florianópolis, Julho de 1997.
15. BENÍTEZ, J.M., CASTRO, J.L., REUQENA, I. "Are Artificial N.N. Black Boxes?", IEEE Transactions on Neural Networks, v.8, n.5, Sep. 1997.
16. SETIONO, R., LIU, H. "NeuroLinear: From neural networks to oblique decision rules", Neurocomputing, v.16, n. 3, Sep. 1997, pp. 225-235.
17. SETIONO, R. "Extracting Rules from Neural Networks by Pruning and Hidden-unit Splitting" Neural Computation, v.9, n.1, pp. 205-225, Jan. 1997.
18. HRUSCHKA, E.R., EBECKEN, N. F. F. Rule Extraction from Neural Networks in Data Mining Applications, In: Data Mining, pp. 289-301, Computational Mechanics Publications, 1998, Southampton.
19. th European Conference on Machine Learning - ECML 98, April 1998, Chemnitz, Germany.
20. DAS, S., MOZER, M. , "Dynamic on-line clustering and state extraction: an approach to symbolic learning" , Neural Networks, n.11, pp. 53-64, 1998.
21. LU, H., SETIONO, R., LIU, H. "Effective Data Mining Using Neural Networks", IEEE Transactions on Knowledge and Data Engineering, v. 8, n. 6, pp. 957-961, 1996.
22. FALKENAUER, E., Genetic Algorithms and Grouping Problems, John Wiley & Sons, 1998.
23. HINTON, G.E., McLELLAND, J.L., RUMELHART, D.E., "Distributed Representation", In Parallel Distributed Processing, MIT Press, Cambridge, MA, 1986.
24. PARK, Y., SONG, M., "A Genetic Algorithm for Clustering Problems", Proceedings of the Genetic Programming Conference, University of Wisconsin, July, 1998.
25. DAVIS, L., Handbook of Genetic Algorithms, International Thomson Computer Press, 1996.
26. NeuralWare, Inc., Technical Publications Group , Neural Works Predict software documentation, 1995.
27. HARP, S. A., SAMAD, T. "Genetic Synthesis of Neural Network Architecture". In: Handbook of Genetic Algorithms, International Thomson Computer Press, pp. 202-222, 1996.
28. GAINES, B. R. "Transforming Rules and Trees into Comprehensible Knowledge Structures". In: Advances in Knowledge Discovery and Data Mining, MIT Press, pp. 205-229, 1996.
29. SMITH, M., Neural Networks for Statistical Modeling, First edition, International Thomson Computer Press,USA, 1996.
30. YILDIZ, N.,"Correlation Structure of Training Data and the Fitting Ability of Back Propagation Networks: Some Experimental Results", Neural Computing & Applications, v.5, pág. 14-19, 1997
31. MICHIE, D., SPIEGELHALTER, D. J., TAYLOR, C. C. "Dataset Descriptions and Results". In: Machine Learning, Neural and Statistical Classification, Ellis Horwood Series in Artificial intelligence, pp 157-158, 1994.
32. HENERY, R, J. "Classification". In: Machine Learning, Neural and Statistical Classification, v.1, Ellis Horwood Series in Artificial Intelligence, Bookcraft, Midsomer Norton, 1994.