DocumentCode
2875738
Title
Application of the Combinatorial Model of Wavelet Analysis and Support Vector Machines in Deformation Analysis
Author
Peng, Lei ; Huang, Zhang-yu ; Jia, Ying-yuan
fYear
2012
fDate
1-3 June 2012
Firstpage
1
Lastpage
4
Abstract
Engineering distortion analysis model is numerous, each has application characteristics and limitations. The combinatorial model used to deformation analysis can avoid the limitation of single model, and it can enhance the accuracy of prediction. Combining wavelet analysis with support vector machines (SVM) and introducing wavelet function to structure the kernel function of support vector machines, which establish a combinatorial model based on wavelet support vector machines. The model has the advantages of support vector machines, which can further understanding of the characteristics of the engineering distortion. And it also can eliminate the high frequency interference of data, so it has the good noise immunity. The results of the experiment show that the combinatorial model has good fit precision and prediction ability of support vector machines, which used for deformation analysis is feasible and effective.
fLanguage
English
Publisher
ieee
Conference_Titel
Remote Sensing, Environment and Transportation Engineering (RSETE), 2012 2nd International Conference on
Conference_Location
Nanjing, Jiangsu, China
Print_ISBN
978-1-4673-0872-4
Type
conf
DOI
10.1109/RSETE.2012.6260412
Filename
6260412
Link To Document