Record Details

Neural network based fabric classification and blend composition analysis

DSpace at IIT Bombay

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Title Neural network based fabric classification and blend composition analysis
 
Creator DESAI, JV
BANDYOPADHYAY, B
KANE, CD
 
Description Fabric classification plays an important role in textile industry. Fabrics classification and determining the blend composition involves tedious work and time consumption. Knowledge based systems like Artificial neural networks may be successfully employed to over come such problems. In this paper a method is presented to classify and determine blend composition using neural networks. By inputting the mechanical properties measured from Kawabata evaluation system to the neural network, one can get the desired results. A comparative study in the results is made between the backpropagation and Radial basis function algorithms to test the suitability of the same for the proposed textile application.
 
Publisher IEEE
 
Date 2011-10-27T01:13:02Z
2011-12-15T09:12:38Z
2011-10-27T01:13:02Z
2011-12-15T09:12:38Z
2000
 
Type Proceedings Paper
 
Identifier PROCEEDINGS OF IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY 2000, VOLS 1 AND 2,231-236
0-7803-5812-0
http://dspace.library.iitb.ac.in/xmlui/handle/10054/16191
http://hdl.handle.net/100/2791
 
Source International Conference on Industrial Technology (IEEE ICIT 2000),GOA, INDIA,JAN 19-22, 2000
 
Language English