A neuro-fuzzy control system for intelligent sewing machines

G. Stylios, O. J. Sotomi

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

Abstract

A neuro-fuzzy control model has been devised for the next generation of the so called “intelligent sewing machines”. The model incorporates discrimination of material characteristics to be stitched by automatic determination of their properties. The fabric/machine interactions at different speeds have been computed in the form of linguistic rules of a fuzzy model and implemented in a neural network to allow for optimisation of fuzzy membership functions and subsequently, self-learning. The model is successfully applied to an instrumented industrial sewing machine.
Original languageEnglish
Title of host publicationSecond International Conference on `Intelligent Systems Engineering'
PublisherInstitution of Engineering and Technology
Pages241-246
Number of pages6
ISBN (Print)0852966210
DOIs
Publication statusPublished - 1994
Event2nd International Conference on Intelligent Systems Engineering 1994 - Hamburg, Germany
Duration: 5 Sep 19949 Sep 1994

Conference

Conference2nd International Conference on Intelligent Systems Engineering 1994
CountryGermany
CityHamburg
Period5/09/949/09/94

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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    Stylios, G., & Sotomi, O. J. (1994). A neuro-fuzzy control system for intelligent sewing machines. In Second International Conference on `Intelligent Systems Engineering' (pp. 241-246). Institution of Engineering and Technology. https://doi.org/10.1049/cp:19940632