How to improve fuzzy-neural system modeling by means of qualitative simulation

IEEE Transactions on Neural Networks

Volumn 11, Issue 1, 2000, Pages 249-253

  Bellazzi, R ^a   Guglielmann, R ^b   Ironi, L ^b  

^a UNIVERSITY OF PAVIA   (Italy)

^b CNR   (Italy)

Author keywords

Fuzzy systems; Identification; Neural networks; Qualitative simulation

Indexed keywords

COMPUTER SIMULATION; CONTROL SYSTEM SYNTHESIS; FUZZY SETS; KNOWLEDGE BASED SYSTEMS; MATHEMATICAL MODELS; NEURAL NETWORKS;

FUZZY-NEURAL MODELS; QUALITATIVE SIMULATION;

NONLINEAR CONTROL SYSTEMS;

EID: 0033640722     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/72.822528     Document Type: Article

References (12)

1. S. Horikawa, T. Furuhashi, and Y. Uchikawa, "On fuzzy modeling using fuzzy neural networks with the backpropagation algorithm," IEEE Trans. Neural Networks, vol. 3, no. 5, pp. 801-814, 1992.
2. J. Jang, "Anfis: Adaptive network-based fuzzy inference system," IEEE Trans. Syst., Man, Cybern., vol. 23, pp. 665-685, 1993.
3. T. Takagi and M. Sugeno, "Fuzzy identification of systems and its applications to modeling and control," IEEE Trans. Syst., Man, Cybern., vol. 15, no. 1, pp. 116-132, 1985.
4. L. X. Wang, Adaptive Fuzzy Systems and Control: Design and Stability Analysis. Englewood Cliffs, NJ: Prentice-Hall, 1994.
5. Y. Lin and G. A. Cunningham, "A new approach to fuzzy-neural system modeling," IEEE Trans. Fuzzy Syst., vol. 3, no. 2, pp. 190-198, 1995.
6. S. Barada and H. Singh, "Generating optimal adaptive fuzzy-neural models of dynamical systems with applications to control," IEEE Trans. Syst., Man, Cybern., vol. 28, no. 3, pp. 371-391, 1998.
7. L. X. Wang and J. M. Mendel, "Generating fuzzy rules by learning from examples," IEEE Trans. Syst., Man, Cybern., vol. 22, no. 6, pp. 1414-1427, 1992.
8. B. J. Kuipers, Qualitative Reasoning: Modeling and Simulation with Incomplete Knowledge. Cambridge, MA: MIT Press, 1994.
9. T. Poggio and F. Girosi, "Networks for approximating and learning," in Proc. IEEE, vol. 78, 1990, pp. 1481-1497.
10. R. Bellazzi, L. Ironi, R. Guglielmann, and M. Stefanelli, "Qualitative models and fuzzy systems: An integrated approach for learning from data," Artificial Intell. Medicine, vol. 14, pp. 5-28, 1998.
11. E. D. Lehmann and T. Deutsch, "A physiological model of glucose-insulin interaction in type 1 diabetes mellitus," Biomed. Eng., vol. 14, pp. 235-242, 1992.
12. R. Bellazzi, R. Guglielmann, and L. Ironi, "A qualitative-fuzzy framework for nonlinear black-box system identification," in Proc. 16th Int. Joint Conf. Artificial Intell. (IJCAI 99), T. Dean, Ed.. San Mateo, CA, 1999, pp. 1041-1046.