Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/35013
Title: Evaluating and comparing the physical properties of spliced yarns by regression and neural network techniques
Authors: Cheng, KPS
Lam, HLI
Issue Date: 2003
Publisher: SAGE Publications
Source: Textile research journal, 2003, v. 73, no. 2, p. 161-164 How to cite?
Journal: Textile research journal 
Abstract: Different spliced yam properties (strength, bending, abrasion, and appearance) are merged into a single score, also known as the total score, which is then used to analyze the overall performance of the yarns. A regression model and neural network model are set up according to the total score to predict the performance of the spliced yams, and the two analysis techniques are compared. According to the analytical results. the neural network model gives a more accurate prediction than the regression model.
URI: http://hdl.handle.net/10397/35013
ISSN: 0040-5175
EISSN: 1746-7748
DOI: 10.1177/004051750307300212
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