1) champion data
优异数据
2) Data optimization
数据优化
1.
This improved the traditional wave generator and realized the design of the three-phase sine wave and its data optimization.
该文对传统的波形发生器进行改进,将数据分时复用优化原则应用在DDS技术上,实现对三相正弦波形的设计及其数据优化。
2.
Measurement error is the main reason for precision measurement by the analysis of Center-Deflection-Measure error,and the axle fitting can be applied to data optimization so as to reduce the measurement error.
对中心偏测量中的误差进行分析,认为测量误差是主要影响因素,采用用光轴拟合来进行数据优化以减小测量误差。
3) optimization data
优化数据
1.
Discover error data the influence of establishing the regression equation of straight line,elaborate to use optimization data establishment the theory of experience formula and method,the introduction program of personal computer.
发现误差数据对建立回归直线方程的影响,阐述用优化数据建立经验公式的理论和方法,介绍微机程序。
4) abnormal data
异常数据
1.
Analysis and treatment of abnormal data in long-path air automatic monitoring;
长光程大气自动监测中异常数据的分析及处置
2.
Discrimination analysis of the abnormal data to the settlement monitoring of the high graded road;
高等级公路沉降监测异常数据的判别分析
3.
Determination of confidence interval of 3-D data and repair of abnormal data;
3维数据的置信区间及异常数据的修复
5) outlier
[英]['aut,laiə] [美]['aʊt,laɪɚ]
异常数据
1.
The robustness data processing method about eliminating outlier;
剔除异常数据的稳健性处理方法
2.
Research on Intrgrated Management of Outlier in Intelligent Data Analysis;
智能数据分析中异常数据的集成化管理方法研究
3.
In this paper, a method based on the Bouncing Function is proposed for discerning and calculating the outliers, which resulted in the irregular change.
为此,该文提出采用跳跃度函数的方法,对系统中所出现的引起事故发生率发生变化的异常数据进行分析和计算,在进行理论证明的基础上给出了跳跃度函数的计算公式,并以线路故障率为例,说明文中的方法对电力系统偶然事故选择所产生的影响。
6) anomalous data
异常数据
1.
To improve the sensitivity of identification, the algorithm based on t test is presented to solve the problems of misidentifying and failing to identify the anomalous data.
介绍了电力负荷异常数据的形成原因和分类,针对目前异常数据辨识方法灵敏度不高、易漏判、误判的现状,提出了基于数理统计中t检验对异常数据进行辨识和修正的算法。
2.
The influence of anomalous data consisted in the historic load data to load forecasting has been analyzed in this paper.
分析了历史负荷中异常数据对负荷预报影响,并对实际电力系统中异常负荷数据进行了简单的分类。
补充资料：数据通信网(见数据通信)
数据通信网(见数据通信)
data communication network
shu)u tongxinwang数据通信网(datac。mmunicati。nne饰ork)见数据通信。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条