Study on Classification Technology of Wool and Cashmere Based on GA-SVM

Abstract:

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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)

Edited by:

Xiaoming Qian and Huawu Liu

Pages:

1198-1201

DOI:

10.4028/www.scientific.net/AMR.332-334.1198

Citation:

Y. H. Yang and 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

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Price:

$35.00

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