期刊论文

The data processing method based on Mahalanobis distance and its application in highway reconstruction engineering quota

中文

铁道科学与工程学报

1672-7029

2018

15

10

2715-2720

10.19713/j.cnki.43-1423/u.2018.10.035

国家自然科学基金资助项目(51578080)。

本校为第一机构

针对高速公路改扩建定额编制中的数据处理,应用马氏距离法、χ2分布及F分布,建立多元和单元的异常数据检测模型。将该模型应用于高速公路改扩建工程定额编制,减少干扰因素导致的实测数据的异常性,提高定额编制的精度,保证数据处理的科学性。

The abnormal data detection model of multivariate and unit is established by applying the Mahalanobis distance, chi-square distribution and F-distribution to the data processing in the establishment of quota for highway reconstruction engineering. The model is applied to the establishment of quota for highway reconstruction engineering, which reduces the abnormality of measured data caused by interference factors, improves the accuracy of quota esta...