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CAS IR Grid
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长春光学精密机械与物... [1]
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OAI收割 [1]
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会议论文 [1]
发表日期
2012 [1]
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Tracking error estimate for theodolite based on general regression neural network (EI CONFERENCE)
会议论文
OAI收割
3rd international Conference on Manufacturing Science and Engineering, ICMSE 2012, March 27, 2012 - March 29, 2012, Xiamen, China
作者:
Li M.
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提交时间:2013/03/25
To efficiently evaluate the tracking index of theodolite
as well as avoiding influence resulted from higher harmonics when used opto dynamic target and use equivalent sine to evaluate the tracking index
in this paper
we resorted to General Regression Neural Network to do the new research on theodolite tracking accuracy evaluation method. Experimental results indicate that the method realized the equivalent sine to evaluate the tracking index of theodolite and avoided the higher harmonics influence with opto dynamic target. The research in this paper has important value to the engineering practice. (2012) Trans Tech Publications.