DocumentCode
2021334
Title
Fabric Drape Fusion Evaluation on Support Vector Machine
Author
Gui, LIN Zhi ; Wei, FANG ; Zhi, HUANG Wei
Author_Institution
Sch. of Inf. & Commun. Eng., Tianjin Polytech. Univ., Tianjin
Volume
1
fYear
2008
fDate
17-18 Oct. 2008
Firstpage
356
Lastpage
359
Abstract
By the feature of fabrics drape data and the theory of support vector machine (SVM), we introduce fusion technique and present a model based on hybrid kernel to estimate fabric drape in this paper. The model is nonlinear model. To the assessment precision of fabric drape, results of the experiments on hybrid kernel model are better than those of the experiments on epsiv-SVM model, which illuminates the assessment model of fabric drape on hybrid kernel is feasible. On the other hand, the assessment precision of fabric drape on hybrid kernel model is higher than on Mercer kernel model, which indicates the assessment model is valid.
Keywords
fabrics; sensor fusion; support vector machines; fabric drape fusion evaluation; hybrid kernel model; support vector machine; Computational intelligence; Data engineering; Error analysis; Fabrics; Kernel; Pattern recognition; Predictive models; Structural engineering; Support vector machine classification; Support vector machines; Fabric Drape; Fusion Evaluation; Support Vector Machine;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Design, 2008. ISCID '08. International Symposium on
Conference_Location
Wuhan
Print_ISBN
978-0-7695-3311-7
Type
conf
DOI
10.1109/ISCID.2008.174
Filename
4725626
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