Nonlinear system identification using ANFIS based on emotional learning

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 3315, Issue , 2004, Pages 697-707

  Jalili Kharaajoo, Mahdi ^a  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL COMPLEXITY; FUZZY CONTROL; LEARNING ALGORITHMS; MATHEMATICAL MODELS; NONLINEAR SYSTEMS; OPTIMIZATION; POLYNOMIAL APPROXIMATION; RANDOM PROCESSES; ARTIFICIAL INTELLIGENCE; COMPLEX NETWORKS; FORECASTING; FUZZY SYSTEMS; IDENTIFICATION (CONTROL SYSTEMS); INFERENCE ENGINES; MULTIOBJECTIVE OPTIMIZATION; SOLAR ENERGY; TIME SERIES;

ADPATIVE NETWORK FUZZY INFERENCE SYSTEMS (ANFIS); EMOTIONAL LEARNING; EMOTIONAL LEARNING BASED FUZZY INFERENCE SYSTEMS (ELFIS); NONLINEAR SYSTEM IDENTIFICATION; ADAPTIVE NETWORK FUZZY INFERENCE SYSTEMS; EMOTIONAL LEARNING BASED FUZZY INFERENCE SYSTEMS; LOW COMPUTATIONAL COMPLEXITY; NEURO-FUZZY MODEL; NONLINEAR TIME SERIES; SOLAR ACTIVITY; TAKAGI-SUGENO FUZZY INFERENCE SYSTEMS;

IDENTIFICATION (CONTROL SYSTEMS); FUZZY INFERENCE;

EID: 22944454863     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-30498-2_70     Document Type: Conference Paper

References (20)

1. Brown M., Harris C.J. (1994), Neuro fuzzy adaptive modeling and control, Prentice Hall, New York.
2. Eppler W., Beck H.N. (1999), "Peicewise linear networks (PLN) for function approximation," Proc. of IEEE Int. Con. on neural networks, Washington.
3. Fatourechi M., Lucas C., Khaki Sedigh A. (2001), "An Agent-based Approach to Multivariable Control," Proc. of IASTED International Conference on Artificial Intelligence and Applications, Marbella, Spain, pp. 376-381.
4. Fatourechi M., Lucas C., Khaki Sedigh A. (2001) "Reducing Control Effort by means of Emotional Learning," Proceedings of 9th Iranian Conference on Electrical Engineering, (ICEE2001), pp. 41-1 to 41-8, Tehran, Iran.
5. Fatourechi M., Lucas C., Khaki Sedigh A. (2001) "Reduction of Maximum Overshoot by means of Emotional Learning," Proceedings of 6th Annual CSI Computer Conference, Isfahan, Iran, pp. 460-467.
6. Izeman A. J. (1985), "Wolf J.R. and the Zurich sunspot relative numbers," The Mathematical Intelligence, Vol.7, No.1, pp. 27-33.
7. Jang J.R. (1993) "ANFIS: Adaptive network based fuzzy inference system," IEEE Tran. On systems, Man and Cybernetics, 23(3), pp. 665-685.
8. Kavli T. (1993), "ASMOD: An algorithm for adaptive spline modeling of observation data," Int. J. of Control, 58(4), pp. 947-967.
9. rd Irano-Armenian Workshop on Neural Networks, Armenia.
10. Nelles O. (1997) "Orthonormal basis functions for nonlinear system identification with local linear model trees (LOLIMOT)", IFAC symposium for system identification (SYSID), Fukuda, Japan, pp. 667-672.
11. Nelles O. (2001), Nonlinear system identification, Springer Verlag, Berlin.
12. Perlovsky L.I. (1999), "Emotions, Learning and control," proc. of IEEE Int. symp. On Intelligent control/Intelligent systems and semiotics, Cambridge MA, pp. 132-137.
13. Schatten K.H., Pesnell W.D. (1993), "An early solar dynamo prediction: Cycle 23 - Cycle 22," Geophysical research letters, 20, pp. 2257-2278.
14. Takagi T., Sugeno M. (1985), "Fuzzy identification of systems and its applications to modeling and control", IEEE Tran. On systems, Man and Cybernetics, 15, pp. 116-132.
15. Thompson R.J. (1993), "A technique for predicting the amplitude of the solar cycle", Solar physics, pp. 148, 383.
16. Tong H., Lim K. (1980), "Threshold Autoregressive limit cycles and cyclical data," J. Roy. Statistics. Soc. B, no.42, pp. 245-292.
17. H. Tong (1996), Nonlinear time series: A dynamical system approach, Oxford press, UK.
18. Ventura R., Pinto Ferreira C. (1999), "Emotion based control systems," proc. of IEEE Int. symp. On Intelligent Con./Intelligent Sys., Cambridge MA, pp. 64-66.
19. Weigend A., Huberman B., Rumelhart D.E. (1990), "Predicting the future: a connectionist approach," Int. J. Of Neural systems, vol. 1, pp. 193-209.
20. Weigend A., Huberman B., Rumelhart D.E., (1992), "Predicting sunspots and exchange rates with connectionist networks," in Nonlinear Modeling and Forecasting, Casdagli, Eubank: Editors, Addison-Wesley, pp. 395-432.