A neuro-fuzzy control system for intelligent sewing machines

G. Stylios; O. J. Sotomi

doi:10.1049/cp:19940632

A neuro-fuzzy control system for intelligent sewing machines

G. Stylios^*, O. J. Sotomi

^*Corresponding author for this work

School of Textiles & Design

University of Bradford

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

15 Citations (Scopus)

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 language	English
Title of host publication	Second International Conference on `Intelligent Systems Engineering'
Publisher	Institution of Engineering and Technology
Pages	241-246
Number of pages	6
ISBN (Print)	0852966210
DOIs	https://doi.org/10.1049/cp:19940632
Publication status	Published - 1994
Event	2nd International Conference on Intelligent Systems Engineering 1994 - Hamburg, Germany Duration: 5 Sept 1994 → 9 Sept 1994

Conference

Conference	2nd International Conference on Intelligent Systems Engineering 1994
Country/Territory	Germany
City	Hamburg
Period	5/09/94 → 9/09/94

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.1049/cp:19940632

Cite this

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title = "A neuro-fuzzy control system for intelligent sewing machines",

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. ",

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AB - 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.

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ER -

A neuro-fuzzy control system for intelligent sewing machines

Abstract

Conference

ASJC Scopus subject areas

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