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浏览/检索结果: 共1条，第1-1条 帮助 已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Tracking error modeling of the theodolite based on GRNN method (EI CONFERENCE) 会议论文 2nd International Conference on Frontiers of Manufacturing and Design Science, ICFMD 2011, December 11, 2011 - December 13, 2011, Taichung, Taiwan Li M.; Gao H. 收藏  |  浏览/下载：15/0  |  提交时间：2013/03/25 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.