Neurocomputations with fuzzy flip-flops

Kaoru Hirota*, Witold Pedrycz

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

12 Citations (Scopus)

Abstract

The paper introduces a design methodology for developing fuzzy systems with the aid of fuzzy JK flip-flops. The network representation of these systems expressed via basic AND and OR neurons will be provided. Detailed design algorithms that essentially exploit a parametric learning of the flip-flops are studied.

Original languageEnglish
Title of host publicationProceedings of the International Joint Conference on Neural Networks
Editors Anon
PublisherPubl by IEEE
Pages1867-1870
Number of pages4
ISBN (Print)0780314212
Publication statusPublished - 1993
Externally publishedYes
EventProceedings of 1993 International Joint Conference on Neural Networks. Part 2 (of 3) - Nagoya, Jpn
Duration: 25 Oct 199329 Oct 1993

Publication series

NameProceedings of the International Joint Conference on Neural Networks
Volume2

Conference

ConferenceProceedings of 1993 International Joint Conference on Neural Networks. Part 2 (of 3)
CityNagoya, Jpn
Period25/10/9329/10/93

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