Genetic algorithm optimization of knowledge extraction from neural networks

ICONIP 1999, 6th International Conference on Neural Information Processing - Proceedings

Volumn 2, Issue , 1999, Pages 752-758

  Palade, Vasile ^a   Negoita, Gheorghe ^a   Ariton, Viorel ^a  

^a DUNAREA DE JOS UNIVERSITY OF GALATI   (Romania)

Author keywords

[No Author keywords available]

Indexed keywords

EXTRACTION; FUZZY RULES; GENETIC ALGORITHMS; MEMBERSHIP FUNCTIONS; NEURAL NETWORKS; OPTIMIZATION;

BACK PROPAGATION NEURAL NETWORKS; EXTRACTION METHOD; FUZZY MODELING; GENETIC-ALGORITHM OPTIMIZATIONS; HIERARCHICAL STRUCTURES; IF-THEN RULES; KNOWLEDGE EXTRACTION; NETWORK INPUTS;

FUZZY INFERENCE;

EID: 84883766064     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICONIP.1999.845690     Document Type: Conference Paper

References (11)

1. Ishigami H., T. Fukuda, T. Shibata and F. Arai (1995). Structure Optimization of Fuzzy Neural Network by Genetic Algorithm. Fuzzy Sets and System 71, pp. 257-264.
2. Kosko B. (1992). Neural Networks and Fuzzy Systems. Prentice-Hall International Inc.
3. Lin C.T. and C.S. George Lee (1991). Neural -Network Uased Fuzzy Logic Control and Decision System. IEEE Transactions on Computers, vol. 40 No. 12, 1991, pp. 1320-1336.
4. Palade V. (1998). Hybrid Expert Systems for Process Control. PhD thesis, "Dunarca de Jos" University of Galati, dec. 1998.
5. Palade V., S. Bumbaiu and M. Negoita (1998). A method for compiling neural networks into fuzzy rules using genetic algorithms and hierarchical aproach, hoc, of 2nd Int. Conf. on Knowledge-Based Intelligent Electronic Systems, vol 2 pp. 353-358, Adelaide-Australia.
6. Pinkas G. (1992). Logical Inference in Symmetric connectionist Networks. PhD. thesis, Washington University.
7. Scott O. (1993), Knowledge-based artificial neural networks for process modeling and control. PhD thesis, University of Wisconsin-USA.
8. Shimojimn K., T. Fukuda and Y. Hasegawa (1995). Self-tuning Fuzzy Modelling with Adaptive Membership Function, Rules, and Hierarchical Structure Based on Genetic Algorithm. Fuzzy Sets and Systems 71, pp. 295-309.
9. Thrun S.B. (1994), Extracting Symbolic Knowledge from Artificial Neural Networks. Revised Version of Technical Research Report TR-IAI-93-5, Institnt fUr Informatik Mi-Universittlt Bonn.
10. Towell G., J.W. Shavlik (1993). The Extraction of Refined Rules from Knowledge-Based Neural Networks. Machine-Learning, vol.13.
11. Yoo J.H. (1993). Symbolic Rule Extraction from Artificial Neural Networks. PhD thesis, Wayne State University.