Paper Title:
Study on Classification Technology of Wool and Cashmere Based on GA-SVM
  Abstract

Distinguishing of wool and cashmere is one of the toughest problems in fiber identification area. Support Vector Machine (SVM) was advanced here to classify fibers, and Genetic Algorithm (GA) was used to optimize multi-parameters of SVM simultaneously. Experimental results show that it plays full part of the GA, and accelerates the optimization search of SVM parameters. The model established is of practical significance in identification of wool and cashmere.

  Info
Periodical
Advanced Materials Research (Volumes 332-334)
Chapter
Chapter 6: Measurement Technology and Instrument
Edited by
Xiaoming Qian and Huawu Liu
Pages
1198-1201
DOI
10.4028/www.scientific.net/AMR.332-334.1198
Citation
Y. H. Yang, Y. P. Ji, "Study on Classification Technology of Wool and Cashmere Based on GA-SVM", Advanced Materials Research, Vols. 332-334, pp. 1198-1201, 2011
Online since
September 2011
Export
Price
$32.00
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