CHINESE|ENGLISH June 23, 2025

Identifying the Materials of Wool/Viscose Blended Yarns Based on Feed-forward Neural Network

Updated: 6/13/2015 1:47:53 PM

Abstract: In order to identify the materials of blended yarns, the article first selected the indicators that can reflect the morphological characteristics of wool and viscose fibers in the cross-section images of blended yarn by using MIV-BP method. Then it used probabilistic neural network/support vector machine/extreme learning machine to identify wool and viscose materials. The identification results show that by using suitable feed-forward neural network, the materials can be quickly identified with accuracy up to about 90% and the method has the potential for practical use.


Key words: feed-forward neural network; material identification; wool; viscose; MIV; image processing

Authority in Charge: China National Textile and Apparel Council (CNTAC)

Sponsor :China Textile Information Center (CTIC)

ISSN 1003-3025 CN11-1714/TS

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