说明:双击或选中下面任意单词,将显示该词的音标、读音、翻译等;选中中文或多个词,将显示翻译。
您的位置:首页 -> 句库 -> 数据变异
1.
Classifying and Processing the Variance of Data in Scientific Researches in Sports;
体育科学研究中数据变异的分类及处理
2.
Research on Change Data Capture of the Heterogeneous Data Sources;
异构数据源下变动数据捕获技术的研究
3.
Alteration Remote Sensing Anomaly Extraction Based on Aster Remote Sensing Data
ASTER遥感数据蚀变遥感异常提取研究
4.
VSD: A Database for Schizophrenia Related Genes Focusing on Variations;
精神分裂症相关基因变异数据库的构建
5.
Application of Heterogenous Database Integration for SIS in a Substation
异构数据集成技术在变电站SIS中的应用
6.
Research on methods of outlier data mining of using statistical dispersion
使用统计变异指标研究离群数据挖掘方法
7.
Analysis and Treatment of Oil Chromatographic Data Abnormality of a Transformer
一起变压器油色谱数据异常的分析及处理
8.
GIC approach for simultaneous diagnosis of transformation and outliers
通过GIC准则同时诊断数据变换与异常点
9.
Phenotypic variation coefficients were all greater than the genetic variation coefficients.
表型变异系数均大于遗传变异系数。
10.
Where it is necessary to change the sampling methods and quantity according to the quality of the goods and the abnormal circumstance in the packages,
根据到货的质量和包装异常情况,需适当变更抽样方法和数量时,
11.
Temperature Rise Test Method and Data Analysis on Cold-rolling Frequency Conversion Asynchronous Motor
马钢冷轧变频异步电动机温升试验方法及试验数据分析
12.
The Study of Information Gathering, Data Processing and Spatial Variability of Soil Nutrient Properties in Precision Farming;
精确农业中土壤养分特性信息采集、数据处理及空间变异性的研究
13.
Foundation of Soil Acidity Database and Study on Variation of Soil Acidity in Hainan Island;
海南岛土壤酸度数据库的建立及土壤酸度变异研究
14.
The Analysis and Its Application for the Differences Between Categories of the Ordinal Data in Data Mining;
数据挖掘中多分类有序变量间距差异分析及应用
15.
Chaotic Identification of HRV Based on Surrogate Data Method
基于代替数据法的心率变异信号混沌特性的识别
16.
Spatial variability of soil salinity using data from remote sensing and electromagnetic induction instruments
基于遥感与电磁感应仪数据的土壤盐分空间变异性
17.
Lie Group Method for Data Set Registration Problem with Anisotropic Scale Deformation
含各向异性尺度形变数据集匹配问题的Lie群方法
18.
To increase our understanding of the pattern of the data, we must also measure its dispersion-its spread, or variability.
为了加深对数据特征的全面理解,还必须度量它的离散性,即数据的分散程度或变异程度。