Rule extraction from neural networks using fuzzy sets

ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age

Volumn 5, Issue , 2002, Pages 2582-2586

  Wettayaprasit, W ^a,b,c   Lursinsap, C ^b   Chu, C H ^c  

^a PRINCE OF SONGKLA UNIVERSITY   (Thailand)

^b CHULALONGKORN UNIVERSITY   (Thailand)

^c University of Louisiana at Lafayette   (United States)

Author keywords

certainty factor; fuzzy set; learning; Neural networks; rule extraction; rule based systems

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; EXTRACTION; FUZZY INFERENCE; FUZZY NEURAL NETWORKS; FUZZY SETS; INFORMATION SCIENCE; KNOWLEDGE BASED SYSTEMS; NEURAL NETWORKS;

CERTAINTY FACTORS; CONFIDENCE VALUES; EXTRACTION PROCESS; LEARNING; NATURAL LANGUAGES; RULE EXTRACTION; RULE EXTRACTION FROM NEURAL NETWORKS; TRAINED NEURAL NETWORKS;

FUZZY LOGIC;

EID: 34250726403     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICONIP.2002.1201962     Document Type: Conference Paper

References (11)

1. He Z., Wei C., Yang L., Gao X., and Yao S., "Extracting Rules from Fuzzy Neural Network by Particle Swarm Optimization," in Proc. Evolutionary Computing, IEEE World Congress on Computational Intelligence (WCCI'98), pp. 74-77, 1998.
2. th IEEE Int'l Conf. on Fuzzy System, vol. 1, pp. 361-267, 1996.
3. O. L. Mangasarian R. Setiono and W.H. Wolberg: "Pattern recognition via linear programming: Theory and application to medical diagnosis", in: "Large-scale numerical optimization" Thomas F. Coleman and Yuying Li editors SIAM Publications, Philadelphia, pp 22-30, 1990.
4. Kasabov N., and Woodford B., "Rule Insertion and Rule Extraction from Evolving Fuzzy Neural Networks: Algorithms and Applications for Building Adaptive, Intelligent Expert Systems," in Proc. IEEE Int'l Fuzzy System, Seoul, Korea, pp. 1406-1411, Aug. 1999.
5. th Int'l Conf. ICONIP'99, vol. 2, pp.712-717, 1999.
6. Fu X., Wang L., "Rule extraction by genetic algorithms based on a simplified RBF neural network," in Proc. 2001 Congress on Evolutionary Computation, vol. 2, pp. 753-758, 2001.
7. Wettayaprasit W., and Lursinsap C., "Rule extraction based on hidden neural activation interval projection on each dimensional axis," in Proc. Artificial Neural Network in Engineering Conf., St. Louis, Missouri, pp. 95-100, Nov. 2001.
8. Fu L., "Knowledge Discovery by Inductive Neural Networks," IEEE Trans. Knowledge Data Eng., vol. 11, no. 6, pp. 992-998, Nov./Dec. 1999.
9. Gupta A., Paer D., and Lam S. M., "Generalized Analytic Rule Extraction for Feedforward Neural Networks," IEEE Trans. Knowledge Data Eng., vol. 11, no. 6, pp. 985-991, Nov. 1999.
10. Taha A. I., and Ghosh J., "Symbolic Interpretation of Artificial Neural Networks," IEEE Trans. Knowledge Data Eng., vol. 11, no. 3, pp. 448-463, May/Jun. 1999.
11. Wettayaprasit W., and Lursinsap C., "Neural rule extraction based on activation projection with certainty factor refinement," in Proc. Int'l Joint Conf. on Neural Networks, IEEE World Congress on Computational Intelligence (WCCI'02), vol. 2, pp. 1730-1735, 2002.