Please use this identifier to cite or link to this item: http://nopr.niscair.res.in/handle/123456789/10746
Title: Predicting strength transfer efficiency of warp and weft yarns in woven fabrics using adaptive neuro-fuzzy inference system
Authors: Malik, Zulfiqar Ali
Malik, Mumtaz Hassan
Hussain, Tanveer
Tanwari, Anwaruddin
Keywords: Fuzzy logic
Neuro-fuzzy system
Polyester-cotton blend
Strength transfer efficiency
Woven fabrics
Issue Date: Dec-2010
Publisher: NISCAIR-CSIR, India
Abstract: The application of adaptive neuro-fuzzy inference system for the prediction of strength transfer efficiencies of warp and weft yarns in woven fabrics has been studied. The developed neuro-fuzzy models are based on the input-output data sets of 264 woven fabric samples, out of which the data of 234 samples are used for developing the prediction models while data of 30 samples are used for models’ validation. The developed models are capable of predicting the warp and weft yarns strength transfer efficiencies quite accurately, given the strength of constituent yarns, the fabric count and the float length.
Description: 310-316
URI: http://hdl.handle.net/123456789/10746
ISSN: 0975-1025 (Online); 0971-0426 (Print)
Appears in Collections:IJFTR Vol.35(4) [December 2010]

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