Please use this identifier to cite or link to this item:
Title: Neural network prediction of human psychological perceptions of fabric hand
Authors: Hui, CL 
Lau, TW
Ng, SF 
Chan, KCC 
Issue Date: 2004
Publisher: SAGE Publications
Source: Textile research journal, 2004, v. 74, no. 5, p. 375-383 How to cite?
Journal: Textile research journal 
Abstract: Fabric hand is commonly adopted for assessing fabric quality and prospective performance in a particular end use. In general, fabric hand is primarily assessed subjectively. Subjective assessments treat fabric hand as a psychological reaction obtained from the sense of touch, based on the experience and sensitivity of humans. It is very difficult to predict such psychological perceptions of hand based on fabric properties. In this paper, we identify reliable sensory fabric hand attributes with correlated attributes of fabric properties, and we attempt a novel approach for predicting sensory hand based on fabric properties using a resilient back-propagation neural network. In this study, we assess forty woven fabrics to determine twelve significant fabric properties and fourteen reliable attributes of sensory hand. Our proposed system performs at a very low mean square error after fine tuning. Five extra woven fabrics are used to show that the performance of such a prediction system closely agrees with subjective test results. Our proposed system can allow field practitioners to evaluate their fabrics more closely to match with customers' expectations.
ISSN: 0040-5175
EISSN: 1746-7748
Appears in Collections:Journal/Magazine Article

View full-text via PolyU eLinks SFX Query
Show full item record


Last Week
Last month
Citations as of Aug 16, 2018

Page view(s)

Last Week
Last month
Citations as of Aug 13, 2018

Google ScholarTM


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.