DocumentCode
2082285
Title
A combined bias of network RTK based on Nu-SVR and the analysis of the model parameter
Author
Shu Hai-Chi ; Shi Qiongfang
Author_Institution
Space Co. of Changjiang Design Inst., Changjiang Water Resources Comm., Wuhan, China
Volume
1
fYear
2008
fDate
17-19 Nov. 2008
Firstpage
319
Lastpage
323
Abstract
Based on the SVM characteristics of not depending on the prior knowledge of the solved problem and the Features of small sample calculation, this paper will establish a combined bias model of network RTK by Nu-SVR regression model of the SVM. This paper experiments on the artificial of the model, and gets some rules about these parameters. Finally, the paper establishes a better combined bias model of Network RTK.
Keywords
regression analysis; support vector machines; Nu-SVR regression model; model parameter; network RTK; support vector machine; Base stations; Communications technology; Computer errors; Error correction; Intelligent networks; Intelligent systems; Knowledge engineering; Predictive models; Space technology; Support vector machines;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent System and Knowledge Engineering, 2008. ISKE 2008. 3rd International Conference on
Conference_Location
Xiamen
Print_ISBN
978-1-4244-2196-1
Electronic_ISBN
978-1-4244-2197-8
Type
conf
DOI
10.1109/ISKE.2008.4730948
Filename
4730948
Link To Document