Design of interval type-2 fuzzy neural networks and their optimization using real-coded genetic algorithms

IEEE International Conference on Fuzzy Systems

Volumn , Issue , 2009, Pages 2013-2018

  Park, Keon Jun ^a   Oh, Sung Kwun ^a   Pedrycz, Witold ^b,c  

^a Suwon University   (South Korea)

^b UNIVERSITY OF ALBERTA   (Canada)

^c SYSTEMS RESEARCH INSTITUTE   (Poland)

Author keywords

[No Author keywords available]

Indexed keywords

DESIGN METHODOLOGY; FUZZY DIVISION; GENERALIZATION ABILITY; INPUT SPACE; INTERVAL TYPE-2 FUZZY SETS; LEARNING RATES; MOMENTUM COEFFICIENT; POLYNOMIAL FUNCTIONS; REAL-CODED GENETIC ALGORITHM; UNCERTAINTY PARAMETERS;

FUZZY SETS; FUZZY SYSTEMS; GENETIC ALGORITHMS; LEARNING ALGORITHMS; MEMBERSHIP FUNCTIONS; OPTIMIZATION;

FUZZY NEURAL NETWORKS;

EID: 71249128125     PISSN: 10987584     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FUZZY.2009.5277365     Document Type: Conference Paper

References (13)

1. Takeshi Yamakawa, " A Neo Fuzzy Neuron and Its Application to System Identication and Predition of the System Behavio," Proceeding of the 2nd International Conference on Fuzzy logic & Neural Networks, pp. 447-483, 1992.
2. J. J. Buckley and Y. Hayashi, "Fuzzy neural networks: A survey," Fuzzy Sets Syst., Vol. 66, pp. 1-13, 1994.
3. L. A. Zadeh, " The concept of a linguistic variable and its application to approximate reasoning-I," Information Science, vol. 8, pp. 199-249, 1975.
4. Mizumoto, M. and K. Tanaka, " Some Properties of Fuzzy Sets of Type-2," Information and Control, vol. 31, pp. 312-340, 1976
5. N. Karnik, J. Mendel, and Q. Liang, "Type-2 Fuzzy Logic Systems," IEEE Trans. On Fuzzy Systems, Vol. 7, No. 6, pp. 643-658, 1999.
6. Q. Liang and J. Mendel, "Interval Type-2 Fuzzy Logic Systems: Theory and Design," IEEE Trans. On Fuzzy Systems, Vol. 8, No.5, pp. 535-550, 2000.
7. J. M. Mendel, Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions, Prentice-Hall: NJ, 2001.
8. D. E. Golderg, Genetic Algorithm in search, Optimization & Machine Learning, Addison wesley, 1989.
9. P. R. Krishnaiah and L. N. Kanal, editors. Classification, pattern recognition, and reduction of dimensionality, volume 2 of Handbook of Statistics. North-Holland, Amsterdam, 1982.
10. M. C. Mackey and L. Glass, "Oscillation and chaos in physiological control systems," Science, Vol. 197, pp 287-289, 1977.
11. G. Vachtsevanos, V. Ramani, and T. W. Hwang, Prediction of Gas Turbine NOx Emissions using Polynomial Neural Network, Technical Report, Georgia Institute of Technology, Atlanta, 1995.
12. Cai, A., Chai Quek, Maskell, D.L., " Type-2 GA-TSK Fuzzy Neural Network," IEEE Congress on Evolutionary Computation, pp. 1578-1585, 2007.
13. Juan R. Castro, Oscar Castillo, Patricia Melin, Antonio Rodriguez-Diaz, "A hybrid learning algorithm for a class of interval type-2 fuzzy neural networks," Information Sciences, Vol. 179, No. 13, pp. 2175-2193, 2009.