EFuNNs ensembles construction using a clustering method and a coevolutionary genetic algorithm

2006 IEEE Congress on Evolutionary Computation, CEC 2006

Volumn , Issue , 2006, Pages 1399-1406

  Minku, Fernanda L ^a   Ludermir, Teresa B ^a  

^a FEDERAL UNIVERSITY OF PERNAMBUCO   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING ALGORITHMS; DATABASE SYSTEMS; FUZZY NEURAL NETWORKS; OPTIMIZATION; PARAMETER ESTIMATION;

BENCHMARK DATABASES; CLUSTERING METHOD; COEVOLUTIONARY GENETIC ALGORITHMS; CONSTRUCT NEURAL NETWORK ENSEMBLE (CONE);

GENETIC ALGORITHMS;

EID: 34547297897     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (24)

1. N. Kasabov, Evolving Connectionist Systems. Great Britain: Springer, 2003.
2. M. Watts and N. Kasabov, "Dynamic optimisation of evolving connectionist system training parameters by pseudo-evolution strategy," in CEC'2001, vol. 2, Seoul, may 2001, pp. 1335-1342.
3. _, "Evolutionary optimisation of evolving connectionist systems," in CEC'2002, vol. 1. Honolulu, Hawaii: IEEE Press, may 2002, pp. 606-610.
4. N. Kasabov, Q. Song, and I. Nishikawa, "Evolutionary computation for dynamic parameter optimization of evolving connectionist systems for on-line prediction of time series with changing dynamics," in IJCNN'2003, vol. 1, Portland, Oregon, July 2003, pp. 438-443.
5. F. L. Minku and T. B. Ludermir, "Evolutionary strategies and genetic algorithms for dynamic parameter optimization of evolving fuzzy neural networks," in CEC'2005, vol. 3, Edinburgh, Scotland, September 2005, pp. 1951-1958.
6. A. Chandra and X. Yao, "Ensemble learning using multi-objective evolutionary algorithms," Journal of Mathematical Modelling and Algorithms (accepted), 2005.
7. Y. Liu, X. Yao, and T. Higuchi, "Evolutionary ensembles with negative correlation learning," IEEE Transactions on Evolutionary Computation, vol. 4, no. 4, pp. 380-387, november 2000.
8. T. G. Dietterich, "Machine-learning research: Four current directions," The AI Magazine, vol. 18, no. 4, pp. 97-136, 1998.
9. X. Yao, Y. Liu, and P. Darwen, "How to make best use of evolutionary learning," Complex Systems - From Local Interactions to Global Phenomena, pp. 229-242, 1996.
10. Y. Liu and X. Yao, "Towards designing neural network ensembles by evolution," in Proceedings of the. International Symposium on Artificial Life and Robotics, AROB'1996, Beppu, Japan, february 1996, pp. 265-268.
11. X. Yao and Y. Liu, "Making use of population information in evolutionary artificial neural networks," IEEE Transactions on Systems, Man and Cybernetics - Part B, vol. 28, no. 3, pp. 417-425, 1998.
12. Y. Liu and X. Yao, "A cooperative ensemble learning system," in IJCNN'1998, USA, 1998.
13. _, "Simultaneous training of negatively correlated neural networks in an ensemble," IEEE Transactions on Systems, Man and Cybernetics ? Part B, vol. 29, no. 6, pp. 716-725, 1999.
14. Y. Liu, X. Yao, Q. Zhao, and T. Higuchi, "Evolving a cooperative population of neural networks by minimizing mutual information," in CEC'2001. Seoul, Korea: IEEE Press, may 2001, pp. 384-389.
15. M. M. Islam, X. Yao, and K. Murase, "A construtive algorithm, for training cooperative neural network ensembles," IEEE Transactions on Neural Networks, vol. 14, no. 4, pp. 820-834, 2003.
16. H. A. Abbass, "Speeding up backpropagation using multiobjective evolutionary algorithms," Neural Computation, vol. 15, no. 11, pp. 2705-2726, november 2003.
17. _, "Evolving neural network ensembles by minimization of mutual information," International Journal of Hybrid Systems, vol. 1, no. 1, 2004.
18. N. Kasabov, "Ensembles of efunns: An architecture for a multimodule classifier," in Proceedings of the International Conference on Fuzzy Systems, vol. 3, Australia, 2001, pp. 1573-1576.
19. _, "Evolving fuzzy neural networks for supervised/unsupervised on-line, knowledge-based learning," IEEE Transactions on Systems, Man and Cybernetics, vol. 31, no. 6, pp. 902-918, december 2001.
20. A. E. Eiben and J. E. Smith, Introduction to Evolutionary Computing. Berlin: Springer, 2003.
21. M. A. Potter and K. A. De Jong, "Cooperative coevolution: An architeture for evolving coadapted subcomponents," Evolutionary Computation, vol. 8, no. 1, pp. 1-29, 2000.
22. C. B. D.J. Newman, S. Hettich and C. Merz, "UCI repository of machine learning databases," 1998. [Online]. Available: http://www.ics.uci.edu/~mlearn/MLRepository.html
23. L. Prechelt, "PROBEN1 - a set of neural network benchmark problems and benchmarking rules," Fakultt fr Informatik, Universitt Karlsruhe, Karlsruhe, Germany, Tech. Rep. 21/94, September 1994.
24. I. H. Witten and E. Frank, Data Mining - Pratical Machine Learning Tools and Techniques with Java Implementations. San Francisco: Morgan Kaufmann Publishers, 2000.