会议专题

Tracking Error Modeling of the Theodolite Based on GRNN Method

  To meet the requirement of high tracking accuracy as well as develop more reasonable evaluation method,in this paper,the General Regression Neural Network (GRNN) has been applied to build the tracking error model of the theodolite.First,we analyze the nonlinear factors in the theodolite.Second,we discuss the principle of GRNN,including its structure,the function as well as its priors.Third,we build the tracking error model based on GRNN and verify the model through the different parameters.The result indicated that the network model based on GRNN has high accuracy and good generalization ability.It could instead the real system to a certain extent.The research in this paper has important value to the engineering practice.

GRNN identified model model verification

Miao Li Huibin Gao

Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences,Changchun 130 Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences,Changchun 130

国际会议

the Second International Conference on Frontiers of Manufacturing and Design Science(第二届制造与设计科学国际会议(ICFMD 2011))

台湾

英文

4870-4874

2011-12-11(万方平台首次上网日期,不代表论文的发表时间)