Please use this identifier to cite or link to this item: http://nopr.niscair.res.in/handle/123456789/343
Title: FAST system approach to discriminate the characterized generic hand of fabrics
Authors: Song, Lai Sang-
Keywords: Canonical discriminant function
Cotton
Fisher linear discriminant function
FAST system
Linen
Neural network
Silk
Wool
Issue Date: Sep-2007
Publisher: CSIR
Series/Report no.: Int. Cl.⁸ D03D
Abstract: An attempt has been made to discriminate different characterized generic hands of cotton, linen, wool, and silk woven fabrics using discriminant analysis and neural network method. Ten physical properties based on the FAST system have been selected for the analysis. It is observed that the cotton, linen, wool, and silk groups of fabric can be characterized and discriminated by discriminant analysis and neural network method with 91.67 % and 98.33 % classified accuracy. Model test results show that the cotton type polyester, linen-textured rayon, wool type polyester, and silk-like polyester fabrics can be classified accurately by the neural network method. The confusion coefficient is found to be 100%.
Description: 344-350
URI: http://hdl.handle.net/123456789/343
ISSN: 0971-0426
Appears in Collections:IJFTR Vol.32(3) [September 2007]

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