The influence of parameters in evolutionary based rule extraction method from neural network

Proceedings - 5th International Conference on Intelligent Systems Design and Applications 2005, ISDA '05

Volumn 2005, Issue , 2005, Pages 106-111

  Markowska Kaczmar, Urszula ^a  

^a WROCLAW UNIVERSITY OF TECHNOLOGY   (Poland)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); FEATURE EXTRACTION; NEURAL NETWORKS; PARAMETER ESTIMATION; PROBLEM SOLVING;

EVOLUTIONARY APPROACH; GENETIC PARAMETERS; RULE EXTRACTION EFFICIENCY;

LOGIC PROGRAMMING;

EID: 33846997961     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISDA.2005.91     Document Type: Conference Paper

References (7)

1. R. Andrews. Survey and critique of techniques for extracting rules from trained artificial neural networks. Knowledge-Based Systems, 8(6):1-100, December 1995.
2. C. Blake and C. Merz. UCI repository of machine learning databases, 1998.
3. I. Jagielska, C. Matthews, and T. Whitfort. An investigation into the application of neural networks, fuzzy logic, genetic algorithm, and rough sets to automated knowledge acquisition for classification problems. Neurocomputing, 24(99):38-54, January 1999.
4. E. Keedwell, A. Narayanan, and D. Savic. Using genetic algorithm to extract rules from trained neural networks. Proceedings of the Genetic and Evolutionary Computing Conference, 1999.
5. U. Markowska-Kaczmar and M. Chumieja. Discovering the mysteries of neural network classification. Hybrid Intelligent Systems, 1(3-4):153-163, December 2004.
6. J. Santos, R. Nievola and A. Freitas. Extracting comprehensible rules from neural networks via genetic algorithms. Symp. on Combinations of Evolutionary Computation and Neural Network, 1:130-139, 2000.
7. I. Taha and J. Ghosh. Symbolic interpretation of artificial neural networks. IEEE Transactions on Knowledge and Data Engineering, 11(3):448-463, January 1999.