Applicability of fuzzy flip-flops in the implementation of neural networks

Rita Lovassy, L. Kóczy, László Gál

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

The concept of various type fuzzy flip-flops (F3) has already been proposed. We have done some investigations on a large scope of F 3s based on different t-norms and conorms. Also we have shown that a few F3 types are suitable for realizing neurons in multilayer perceptrons. The aim of this paper is to present a comparison of the performance of several type neural networks based on fuzzy J-K and also fuzzy D flip-flops (the latter derived from the former type). The behavior of algebraic, Yager, Dombi and Hamacher type fuzzy flip-flop neural networks are presented. The best fitting t-norm and corresponding fuzzy flip-flop type will be presented in terms of function approximation capability.

Original languageEnglish
Title of host publication9th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics, CINTI 2008
Pages333-344
Number of pages12
Publication statusPublished - 2008
Event9th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics, CINTI 2008 - Budapest, Hungary
Duration: Nov 6 2008Nov 8 2008

Other

Other9th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics, CINTI 2008
CountryHungary
CityBudapest
Period11/6/0811/8/08

Fingerprint

Flip flop circuits
Neural networks
Multilayer neural networks
Neurons

Keywords

  • Fuzzy d flip-flop
  • Fuzzy flip-flop neural network (fnn)
  • Fuzzy j-k flip-flop
  • T-conorm
  • T-norm

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems

Cite this

Lovassy, R., Kóczy, L., & Gál, L. (2008). Applicability of fuzzy flip-flops in the implementation of neural networks. In 9th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics, CINTI 2008 (pp. 333-344)

Applicability of fuzzy flip-flops in the implementation of neural networks. / Lovassy, Rita; Kóczy, L.; Gál, László.

9th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics, CINTI 2008. 2008. p. 333-344.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Lovassy, R, Kóczy, L & Gál, L 2008, Applicability of fuzzy flip-flops in the implementation of neural networks. in 9th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics, CINTI 2008. pp. 333-344, 9th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics, CINTI 2008, Budapest, Hungary, 11/6/08.
Lovassy R, Kóczy L, Gál L. Applicability of fuzzy flip-flops in the implementation of neural networks. In 9th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics, CINTI 2008. 2008. p. 333-344
Lovassy, Rita ; Kóczy, L. ; Gál, László. / Applicability of fuzzy flip-flops in the implementation of neural networks. 9th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics, CINTI 2008. 2008. pp. 333-344
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