Two-stage learning algorithm for fuzzy cognitive maps

2004 2nd International IEEE Conference 'Intelligent Systems' - Proceedings

Volumn 1, Issue , 2004, Pages 82-87

  Papageorgiou, Elpiniki I ^a   Groumpos, Peter P ^a  

^a UNIVERSITY OF PATRAS   (Greece)

Author keywords

Evolutionary Computation; Fuzzy cognitive maps; Learning algorithms; Nonlinear Hebbian rule

Indexed keywords

ARTIFICIAL INTELLIGENCE; COGNITIVE SYSTEMS; DECISION MAKING; EVOLUTIONARY ALGORITHMS; EXPERT SYSTEMS; FUZZY SETS; LARGE SCALE SYSTEMS; NEURAL NETWORKS; PROBLEM SOLVING; PROCESS CONTROL;

DIFFERENTIAL EVOLUTION (DE); FUZZY COGNITIVE MAPS (FCM); NONLINEAR HEBBIAN RULE;

LEARNING ALGORITHMS;

EID: 8844245631     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (17)

1. B. Kosko, "Fuzzy Cognitive Maps," Int. J. Man-Machine Studies, vol.24, 1986, pp. 65-75.
2. E. Papageorgiou, C. Stylios, and P. Groumpos, "An Integrated Two-Level Hierarchical Decision Making System based on Fuzzy Cognitive Maps (FCMs)," IEEE Transactions on Biomedical Engineering, vol. 50, no 12, pp. 1326-1339, December 2003.
3. E.I. Papageorgiou, C.D. Stylios, P. Spyridonos, G. Nikiforidis, and P. P. Groumpos, "Urinary bladder tumour grading using nonlinear Hebbian learning for fuzzy cognitive maps," Proc. IEE International Conference on Systems Engineering (ICSE 2003), vol. 2, pp. 542-547, 2003.
4. J. P. Craiger, D. F. Goodman, R. J. Weiss, and A. B. Butler, "Modelling Organizational behaviour with fuzzy cognitive maps," Int.J. Comput. Intell. Org., vol. 1, 1996, pp. 120-123.
5. C. D. Stylios, P. P. Groumpos, and V. C. Georgopoulos, "An Fuzzy Cognitive Maps Approach to Process Control Systems," Journal of Advanced Computational Intelligence, vol. 3, no. 5, 1999, pp. 409-417.
6. G. Xirogiannis, J. Stefanou, and M. Glykas, "A fuzzy cognitive map approach to support urban design," Expert Systems with Applications, vol. 26, no. 2, 2004, pp. 257-268.
7. B. Kosko, Neural Networks and Fuzzy Systems, New Jersey: Prentice-Hall, 1992.
8. J. Aguilar, "Adaptive Random Fuzzy Cognitive Maps," in IBERAMIA 2002, Lecture Notes in Artificial Intelligence, F. J. Garijio, J. C. Riquelme, and M. Toro, Eds. vol. 2527, Berlin, Heidelberg: Springer-Verlag, 2002, pp. 402-410.
9. K. E. Parsopoulos, E. I. Papageorgiou, P. P. Groumpos, and M. N. Vrahatis, "A First Study of Fuzzy Cognitive Maps Learning Using Particle Swarm Optimization," Proc. IEEE 2003 Congress on Evolutionary Computation, IEEE Press, pp. 1440-1447, 2003.
10. E. I. Papageorgiou, C. D. Stylios, and P. P. Groumpos, "Fuzzy Cognitive Map Learning based on Nonlinear Hebbian Rule," in AI 2003, Lecture Notes Artificial Intelligence, T. D. Gedeon and L. C. C. Fung, Eds. vol. 2903, Berlin, Heidelberg: Springer-Verlag, 2003, pp. 254-266.
11. G. Weiss, Neural Networks and Evolutionary Computation, Part I: Hybrid Approaches in Artificial Intelligence, Proc. of ICEC, 1993.
12. P. Bartlett and T. Downs, "Training a neural network using a genetic algorithm," Technical Report, Department of Electrical Engineering, University of Queensland, 1990.
13. J. Heistermann, "Learning in neural nets by genetic algorithms," in Parallel processing in neural systems and computers, R. Eckemiller, G. Hartmann and G. Hauske. Eds. Elsevier, 1990, 165-168.
14. N. Dodd, "Optimization of network structure using genetic techniques," Proc. of the 1990 Int. Joint. Conf. on Neural Networks, 1990.
15. C. T. Lin and C. S. G. Lee, Neural Fuzzy Systems: A Neuro-Fuzzy Synergism to Intelligent Systems, N.J., Upper Saddle River: Prentice Hall, 1996.
16. K. V. Price, "An Introduction to Differential Evolution," in New Ideas in Optimization, D. Come, M. Dorigo, and F. Glover, Eds. New York: McGraw-Hill, 1999.
17. M. Hassoun, Fundamentals of Artificial Neural Networks, Massachusetts: Bradford Book, MIT Press, 1995.