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
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;
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
DOI :
10.1109/ISKE.2008.4730948
