An evolutionary function approximation approach to compute prediction in XCSF

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3720 LNAI, Issue , 2005, Pages 584-592

  Hamzeh, Ali ^a   Rahmani, Adel ^a  

^a IRAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Iran)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; CLASSIFICATION (OF INFORMATION); DIFFERENTIAL EQUATIONS; GENETIC ALGORITHMS;

CALCULATION CAPABILITY; WEIGHT UPDATE MECHANISM; XCSF;

COMPUTATION THEORY;

EID: 33646386390     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11564096_57     Document Type: Conference Paper

References (13)

1. Wilson, S. W. (2002). Classifiers that approximate functions. Journal of Natural Computating 1 (2-3), 211-234.
2. Wilson, S. W. (1995). Classifier Fitness Based on Accuracy. Evolutionary Computation 3.
3. Widrow, B. and M. E. Hoff (1988). Adaptive Switching Circuits, Chapter Neurocomputing: Foundation of Research, pp. 126-134. Cambridge: The MIT Press.
4. Lanzi, P. L., D. Loiacono, S. W. Wilson, and D. E. Goldberg (2005). Generalization in the XCSF Classifier System: Analysis, Improvement, and Extension. Technical Report 2005012, Illinois Genetic Algorithms Laboratory.
5. Holland, J. H. (1975). Adaptation in Natural and Artificial Systems. Ann Arbor: University of Michigan Press. Republished by the MIT press, 1992.
6. Wilson, S. W. (2001). Function approximation with a classifier system. In proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), San Francisco, California, USA, pp. 974-981. Morgan Kaufmann.
7. Wilson, S. W. (2004). Classifier systems for continuous payoff environments. In Genetic and Evolutionary Computation -GECCO-2004, Part II, Volume 3103 of Lecture Notes in Computer Science, Seattle, WA, USA, pp. 824-835. Springer-Verlag.
8. Butz, M. V. and S. W. Wilson (2002). An algorithmic description of XCS. Journal of Soft Computing 6 (3-4), 144-153.
9. Haykin, S. (1998). Neural Networks: A Comprehensive Foundation. Prentice Hall PTR.
10. Butz, M. V., K. Sastry, and D. E. Goldberg (2003). Tournament selection: Stable fitness pressure in XCS. In Genetic and Evolutionary Computation - GECCO-2003, Volume 2724 of LNCS, Chicago, pp. 1857-1869. Springer-Verlag.
11. Lanzi, P. L., D. Loiacono, S. W. Wilson, and D. E. Goldberg (2005). XCS with Computable Prediction in Multistep Environments. Technical Report 2005008, Illinois Genetic Algorithms Laboratory.
12. Lanzi, P. L., D. Loiacono, S. W. Wilson, and D. E. Goldberg (2005). Extending XCSF Beyond Linear Approximation. Illinois Genetic Algorithms Laboratory University of Illinois at Urbana-Champaign.
13. Lanzi, P. L., D. Loiacono, S. W. Wilson, and D. E. Goldberg (2005). XCS with Computable Prediction for the Learning of Boolean Functions. Technical Report 2005007, Illinois Genetic Algorithms Laboratory.