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重复测量周期性误差的模式识别方法
引用本文:黄国斌,独知行,靳奉祥.重复测量周期性误差的模式识别方法[J].大地测量与地球动力学,1999,19(4):45-49.
作者姓名:黄国斌  独知行  靳奉祥
作者单位:1. 徐州建筑职业技术学院经济管理系,江苏,221008
2. 中国科学院测量与地球物理研究所,武汉,430077
3. 山东矿业学院地球科学系,泰安,271019
基金项目:中国科学院动力大地测量开放实验室资助
摘    要:通过对以往重复测量周期性误差的统计检验法的分析,结合模式识别理论,给出了一种处理该问题的识别方法。这种方法以贝叶斯决策理论为出发点,总能确保判识错误率最小,且在给出判识结果的同时给出结果的可靠性,从而避免了传统统计检验法解决这类问题的不足。

关 键 词:周期性误差  统计检验  模式识别

PATTERN RECOGNITION METHOD FOR PERIODICAL ERROR OF REPEATING SURVEY
Huang Guobin,Du Zhixing,Jin Fengxiang.PATTERN RECOGNITION METHOD FOR PERIODICAL ERROR OF REPEATING SURVEY[J].Journal of Geodesy and Geodynamics,1999,19(4):45-49.
Authors:Huang Guobin  Du Zhixing  Jin Fengxiang
Institution:Huang Guobin;(Economic Administration Department, Xuzhou Collegeof Architectural Technique, Jiangsu Province 221008);Du Zhixing;(Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430077);Jin Fengxiang;(Shandong Institute of Mining and Technology, Tai'an 271019)
Abstract:In accordance with pattern recognition theory and the analysis of traditional statistical test for tackling the problem a recognition method of processing the periodical errors of repeating survey is presented. Starting from the Bayes decision theory, this method can minimize error rate, and simultaneously give recognition result and its reliability, so it may overcome the shortcoming of traolitional statistical hypothesis test for solving the problem. An example is also provided to explain the application of this method.
Keywords:periodical error  statistical test  pattern recognition
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