Selection of suitable sewing needle using machine learning techniques
International Journal of Clothing Science and Technology
ISSN: 0955-6222
Article publication date: 1 August 1998
Abstract
Selection of suitable sewing needle is one of the most important parameters for ensuring an effective and fault‐free sewing process. This task requires good knowledge of basic characteristics of a sewing needle, i.e. needle type, point shape and needle fineness. Also good knowledge of sewing materials is required. The contribution presents an analysis of important parameters that influence the sewing needle selection in women’s underwear production. The importance of those parameters in ensuring the appropriate seam quality is described. The selection of a suitable sewing needle was carried out on the basis of analysis of influential sewing parameters with application of machine learning from examples.
Keywords
Citation
Stjepanovic, Z. and Strah, H. (1998), "Selection of suitable sewing needle using machine learning techniques", International Journal of Clothing Science and Technology, Vol. 10 No. 3/4, pp. 209-218. https://doi.org/10.1108/09556229810693582
Publisher
:MCB UP Ltd
Copyright © 1998, Company