Tracking Error Estimate for Theodolite Based on General Regression Neural Network

Abstract:

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.

• Periodical: Advanced Materials Research (Volumes 472-475)
• Pages: 1383-1387
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.472-475.1383
• Online since: February 2012
• Authors: Miao Li, Hui Bin Gao
• Keywords: Dynamic Target, Equivalent Sine, GRNN, Neural Network Model, Tracking Error Estimate

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