Optimizing fuzzy flip-flop based neural networks by bacterial memetic algorithm

Rita Lovassy, László T. Kóczy, László Gál

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

4 Citations (Scopus)

Abstract

In our previous work we proposed a Multilayer Perceptron Neural Networks (MLP NN) consisting of fuzzy flipflops (F3) based on various operations. We showed that such kind of fuzzy-neural network had good learning properties. In this paper we propose an evolutionary approach for optimizing fuzzy flip-flop networks (FNN). Various popular fuzzy operation and three different fuzzy flip-flop types will be compared from the point of view of the respective fuzzy-neural networks' approximation capability.

Original languageEnglish
Title of host publication2009 International Fuzzy Systems Association World Congress and 2009 European Society for Fuzzy Logic and Technology Conference, IFSA-EUSFLAT 2009 - Proceedings
Pages1508-1513
Number of pages6
Publication statusPublished - Dec 1 2009
EventJoint 2009 International Fuzzy Systems Association World Congress, IFSA 2009 and 2009 European Society of Fuzzy Logic and Technology Conference, EUSFLAT 2009 - Lisbon, Portugal
Duration: Jul 20 2009Jul 24 2009

Publication series

Name2009 International Fuzzy Systems Association World Congress and 2009 European Society for Fuzzy Logic and Technology Conference, IFSA-EUSFLAT 2009 - Proceedings

Other

OtherJoint 2009 International Fuzzy Systems Association World Congress, IFSA 2009 and 2009 European Society of Fuzzy Logic and Technology Conference, EUSFLAT 2009
CountryPortugal
CityLisbon
Period7/20/097/24/09

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Keywords

  • Bacterial memetic algorithm
  • Feedbacked fuzzy J-K and fuzzy D flip-flops
  • Multilayer Perceptron Neural Networks

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Information Systems

Cite this

Lovassy, R., Kóczy, L. T., & Gál, L. (2009). Optimizing fuzzy flip-flop based neural networks by bacterial memetic algorithm. In 2009 International Fuzzy Systems Association World Congress and 2009 European Society for Fuzzy Logic and Technology Conference, IFSA-EUSFLAT 2009 - Proceedings (pp. 1508-1513). (2009 International Fuzzy Systems Association World Congress and 2009 European Society for Fuzzy Logic and Technology Conference, IFSA-EUSFLAT 2009 - Proceedings).