Function approximation capability of a novel fuzzy flip-flop based Neural Network

Proceedings of the International Joint Conference on Neural Networks

Volumn , Issue , 2009, Pages 1900-1907

  Lovassy, Rita ^a,b   Kóczy, László T ^a,c   Gál, László ^a,d  

^a SZÉCHENYI ISTVÁN UNIVERSITY   (Hungary)

^b Kando Kalman Faculty of Electrical Engineering   (Hungary)

^c BUDAPEST UNIVERSITY OF TECHNOLOGY AND ECONOMICS   (Hungary)

^d UNIVERSITY OF WEST HUNGARY   (Hungary)

Author keywords

[No Author keywords available]

Indexed keywords

COMPARATIVE STUDIES; CONNECTIONIST SYSTEMS; FUNCTION APPROXIMATION; FUZZY OPERATION; MULTILAYER PERCEPTRON NEURAL NETWORKS; SIMULATION RESULT; TEST FUNCTIONS; VARIABLE FUNCTIONS;

FLIP FLOP CIRCUITS; MULTILAYER NEURAL NETWORKS; NEURONS;

FUZZY NEURAL NETWORKS;

EID: 70449431352     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2009.5178849     Document Type: Conference Paper

References (11)

1. R. Bellman and M. Giertz, "On the analytic formalism of the theory of fuzzy sets", Information Science, vol. 5, 1973, pp. 149-156.
2. B. Choi and K. Tipnis, "New Components for Building Fuzzy Logic Circuits", Proc. of the 4th Int. Conf. on Fuzzy Systems and Knowledge Discovery, vol. 2, 2007, pp. 586-590.
3. J. Dombi, "A general class of fuzzy operators, the De Morgan class of fuzzy operators and fuzziness measures induced by fuzzy operators", Fuzzy Sets and Systems, vol. 8, 1982, pp. 149-163.
4. L. Gál, J. Botzheim and L. T. Kóczy, , Improvements to the Bacterial Memetic Algorithm used for Fuzzy Rule Base Extraction", Computational Intelligence for Measurement Systems and Applications, CIMSA 2008, Istanbul, pp. 38-43.
5. K. M. Hornik, M. Stinchcombe and H. White, "Multilayer feedfordward networks are universal approximators", Neural Networks, vol. 2, no. 5, 1989, pp. 359-366.
6. E. P. Klement, R. Mesiar and E. Pap, "Triangular Norms", Series: Trends in Logic, vol. 8, 2000.
7. R. Lovassy, L. T. Kóczy and L. Gál, "Analyzing Fuzzy Flip-Flops Based on Various Fuzzy Operations", Acta Technica Jaurinensis Series Intelligentia Computatorica vol. 1, no. 3, 2008, pp. 447-465.
8. R. Lovassy, L. T. Kóczy and L. Gál, "Multilayer Perceptron Implemented by Fuzzy Flip-Flops", IEEE World Congress on Computational Intelligence, WCCI 2008, Hong Kong, pp. 1683-1688.
9. R. Lovassy and L. T. Kóczy, "Comparison of Elementary Fuzzy Sequential Digital Units Based on Various Popular T-norms and Conorms", Proc. 3rd Romanian-Hungarian Joint Symposium on Applied Computational Intelligence, Timişoara, 2006, pp. 164-181.
10. K. Ozawa, K. Hirota and L. T. Koczy, "Fuzzy flip-flop", In: M. J. Patyra, D. M. Mlynek, eds., Fuzzy Logic. Implementation and Applications, Wiley, Chichester, 1996, pp. 197-236.
11. K. Ozawa, K. Hirota, L. T. Kóczy and K. Omori "Algebraic fuzzy flip-flop circuits", Fuzzy Sets and Systems 39/2, North Holland, 1991, pp. 215-226.