Evolving rule-based models: A tool for intelligent adaptation

Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS

Volumn 2, Issue , 2001, Pages 1062-1067

  Angelov, Plamen ^a   Buswell, Richard ^a  

^a LOUGHBOROUGH UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CLIMATE CONTROL; COMPUTER SIMULATION; FUZZY SETS; LINGUISTICS; MEMBERSHIP FUNCTIONS; PARAMETER ESTIMATION;

EVOLVING RULE-BASED MODEL; INDOOR CLIMATE CONTROL; RECURSIVE LEAST SQUARES ESTIMATION;

KNOWLEDGE BASED SYSTEMS;

EID: 0035791948     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (17)

1. P.P. Angelov, and R.A. Buswell, "Recursive On-line Identification of Takagi-Sugeno Models by Rules and Parameters Innovation", IEEE Transactions on Fuzzy Systems, submitted paper
2. K. Astrom, and B. Wittenmark, "Computer Controlled Systems: Theory and Design", Prentice Hall, Englewood Cliffs, NJ, USA, 1984.
3. P. Strobach, "Linear Prediction Theory: A Mathematical Basis for Adaptive Systems", Springer Verlag, New York, USA, 1990.
4. T. Takagi, and M. Sugeno, "Fuzzy Identification of Systems and its Application to Modeling and Control", IEEE Transactions on Systems, Man and Cybernetics, Vol. 15, 1985, pp 116-132.
5. R. R. Yager, and D. P. Filev, "Essentials of Fuzzy Modeling and Control", John Wiley and Sons, New York, USA, 1994.
6. S. L. Chiu, "Fuzzy Model Identification based on Cluster Estimation", Journal of Intelligent and Fuzzy Systems, Vol. 2, 1994, pp 267-278.
7. M. Setnes, J. A. Roubos, "GA-Fuzzy Modeling and Classification: Complexity and Performance", IEEE Transactions on Fuzzy Systems, Vol.8 (5), 2000, pp 509-522.
8. R.R. Yager, D. P. Filev, "Learning of Fuzzy Rules by Mountain Clustering", Proc. of SPIE Conference on Application of Fuzzy Logic Technology, Boston, MA, USA, 1993, pp 246-254.
9. K. Tanaka, and M. Sugeno, "Stability Analysis and Design of Fuzzy Control Systems", Fuzzy Sets and Systems, Vol. 45 (2), pp 135-156.
10. P. Angelov, "Evolving Fuzzy Rule-based Models", Journal of CIIE, special issue on Soft Computing Applications to Industrial Engineering, Vol. 17, 2000, pp 459-468.
11. P.P. Angelov, V.I. Hanby, R. A. Buswell, J. A. Wright, "Automatic Generation of Fuzzy Rule-based Models from Data by Genetic Algorithms", Proc. of the Conference on Advances in Soft Computing, Leicester, UK, June 29-30, 2000 (R. John and R. Birkenhead Eds.), Springer Verlag.
12. K. Shimojima, T. Fukuda, Y. Hasegawa, "Self-tuning Fuzzy Modeling with Adaptive Membership Function, Rules, and Hierarchical Structure based on Genetic Algorithm", Fuzzy Sets and Systems, Vol. 71, 1995, pp 295-309.
13. J.S.R. Jang, "ANFIS: Adaptive Network-based Fuzzy Inference Systems", IEEE Transactions on Systems, Man & Cybernetics, Vol.23 (3), 1993, pp 665-685.
14. J. Bezdek, "Cluster Validity with Fuzzy Sets", Journal of Cybernetics, Vol. 3 (3), 1974, pp 58-71.
15. EUNITE: European Network on Intelligent Technologies for Smart Adaptive Systems, Contract No IST-2000-29207, Project Summary, p.4
16. L. Ljung, "System Identification: Theory for the Users", New Jersey, USA, 1987 Prentice-Hall.
17. D. P. Filev, "Fuzzy Modeling of Complex Systems, International Journal of Approximate Reasoning, Vol. 5, 1991, pp 281-290.