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Predicting garment appearance quality [Elektronski vir]Zavec Pavlinič, Daniela ; Geršak, JelkaDeveloping steps in designing a system for predicting garment appearance quality are presented. The articles of clothing investigated are ladies' jackets and the accent is given to subjective ... evaluation of individual factors of garment appearance quality. A group of semi-skilled evaluators and a group of experts in the field of garment engineering were doing the evaluation. This system of dual evaluation and comparison of the grades obtained are key factors in the development of the predicting models using the method of machine learning. The algorithms of the latter are implemented in the Orange machine learning system, which was used to develop the system for predicting garment appearance quality grade. It is founded on previous knowledge of correlations among the quality grade of a particular factor of garment appearance quality and the parameters of mechanical and physical properties of the analysed fabrics, incorporated into the garments in question. The workings of the system designed result in a prediction of garment appearance quality grade, presented separately for each individual factor of appearance quality defined.Source: The open textile journal [Elektronski vir]. - ISSN 1876-5203 (Vol. 2, 2009, str. 29-38)Type of material - e-articlePublish date - 2009Language - englishCOBISS.SI-ID - 13390102
Author
Zavec Pavlinič, Daniela |
Geršak, Jelka
Topics
textile |
garment appearance |
quality |
subjective estimation |
mechanical properties |
prediction
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Database name | Field | Year |
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Links to authors' personal bibliographies | Links to information on researchers in the SICRIS system |
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Zavec Pavlinič, Daniela | 18692 |
Geršak, Jelka | 04628 |
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