CAJ | 학술논문

要识别测量数据的周期性误差，传统解决方法是利用数理统计中的统计检验方法。论文结合模式识别理论和方法，以贝叶斯风险函数为基础，分析基坑监测数据的周期性误差。对比统计检验方法，模式识别方法的判识错误率最小，在识别测量数据是否有周期性误差的同时得到判识结果的可靠性。
요식별측량수거적주기성오차，전통해결방법시이용수리통계중적통계검험방법。논문결합모식식별이론화방법，이패협사풍험함수위기출，분석기갱감측수거적주기성오차。대비통계검험방법，모식식별방법적판식착오솔최소，재식별측량수거시부유주기성오차적동시득도판식결과적가고성。
To identify periodic error of measured data ,the traditional solution is to use statistical testing method of mathematical statistics .Based on pattern recognition theory and the bayesian risk function ,analysis of foundation pit mo-nitoring data .Contrast statistic test methods or pattern recognition method of minimum error rate on the identification of the measurement data if there is a periodic error to get to know the reliability of the results .