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A neuro‐fuzzy control system for intelligent overlock sewing machines

George Stylios (Department of Industrial Technology, University of Bradford, Bradford, UK)
J.O. Sotomi (Department of Industrial Technology, University of Bradford, Bradford, UK)

International Journal of Clothing Science and Technology

ISSN: 0955-6222

Article publication date: 1 May 1995

309

Abstract

A neuro‐fuzzy control model has been devised for the next generation of 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 optimization of fuzzy membership functions and, subsequently, self‐learning. The model is successfully applied to an instrumented industrial sewing machine.

Keywords

Citation

Stylios, G. and Sotomi, J.O. (1995), "A neuro‐fuzzy control system for intelligent overlock sewing machines", International Journal of Clothing Science and Technology, Vol. 7 No. 2/3, pp. 49-55. https://doi.org/10.1108/09556229510087155

Publisher

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MCB UP Ltd

Copyright © 1995, MCB UP Limited

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