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
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;
Conference_Titel :
Computational Intelligence and Design, 2008. ISCID '08. International Symposium on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3311-7
DOI :
10.1109/ISCID.2008.174