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NISCAIR PUBLICATIONS >
Research Journals >
Indian Journal of Fibre & Textile Research (IJFTR) >
IJFTR Vol.35 [2010] >
IJFTR Vol.35(1) [March 2010] >
| Title: | Soft computing in textiles |
| Authors: | Guruprasad, R
Behera, B K |
| Keywords: | Fuzzy logic
Genetic algorithm
Hybrid modelling
Neural networks
Soft computing |
| Issue Date: | Mar-2010 |
| Publisher: | CSIR |
| Abstract: | This paper
reviews the application of principal soft computing techniques for the study of
textile processes and products. Soft computing suggests a new computing
methodology that is both flexible and easy. Three major branches of soft
computing, namely fuzzy logic, neural networks, and genetic algorithms, are
discussed in detail with respect to their applications in solving variety of
textile problems ranging from fibre classification, color grading, yarn and
fabric property prediction, to the optimization of products and processes and
even to search for a pleasing garment design. These tools of soft computing are
complementary rather than competitive. Number of prediction models of ‘hybrid
type’ are being developed combining the merits of each of these techniques.
These hybrid models will help in establishing a prediction system that is more
intelligent and effective in problem solving. |
| Page(s): | 75-84 |
| ISSN: | 0975-1025 (Online); 0971-0426 (Print) |
| Source: | IJFTR Vol.35(1) [March 2010]
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