1) confidence distance measure
置信距离测度
1.
Based on the concept of confidence distance measure,the confidence distance matrix and relation matrix for multi-odometer data is constructed firstly.
首先基于置信距离测度概念构造了多里程仪测量数据之间的置信距离矩阵和关系矩阵,然后利用有向图方法剔除含有较大误差的或错误的测量数据,最后采用极大似然估计法求解多里程仪测量数据的最优融合值。
2) classified confidence distance measure
类别置信距离测度
1.
This model revises deviation between apriori distributing and factual distributing of target traits through classified confidence distance measure,which improves reliability of the estimate of target attribute.
该模型利用类别置信距离测度修正目标特征的实测分布与先验分布的偏差,提高传感器目标属性估计的可靠性;利用一致性测度和传感器可靠性,实现传感器信息的筛选,有效的处理冲突信息和错误信息。
3) confidence distance
置信距离
1.
An improved consensus data fusion algorithm is presented,and this algorithm induces relative distance and confidence distance on the basis of the variance of the measured error weight algorithm to improve suboptimal fusion result.
针对目前数字滤波算法中存在对先验信息要求苛刻及定义数据间支持度中门限的预先设定问题,在基于测量方差加权算法基础上,引入相对距离和置信距离的思想对其次优融合估计结果进行改进。
2.
In this paper, the confidence distance measure is used to be fusion measure of data fusion.
以置信距离测度作为数据融合的融合度,先计算出置信距离矩阵,然后分析了计算关系矩阵和确定最佳融合数的几种不同方法,通过分析和算例可以看出,应用椭圆曲线表示的支持程度有助于提高融合结果;并讲述了极值原理法、极大似然法、Bayes法和综合支持程度等数据融合方法,算例表明,这几种融合方法都十分有效,在实际应用中应根据具体情况选择不同的融合方法。
3.
An improved consensus data fusion algorithm was proposed in this paper by the definition of a new confidence distance.
通过定义一种新的置信距离,提出了一种改进的一致性数据融合算法。
4) distance measure
距离测度
1.
σ-entropy,σ-distance measure and σ-similarity measure of intuitionistic interval-valued fuzzy sets;
直觉区间值模糊集的σ-熵、σ-距离测度和σ-相似测度
2.
Ranking fuzzy numbers based on a new distance measure;
基于新距离测度的模糊数排序方法
3.
Entropy,Distance Measure and Divergence Measure;
模糊熵,距离测度和散度测度(英文)
5) distance measurement
距离测度
1.
AR model based distance measurements with EEG signals are well reliable for the injury detection of the central nervous system.
基于ＡＲ模型的ＥＥＧ信号距离测度方法可以较好地表征中枢神经系统损伤的情 况。
2.
Improved FastICA algorithm is used to separate mixed speech, and optimized time-frequency distributions and distance measurement are combined to identify unmixed speech.
提出了1种混叠语音场景分析模型,模型以独立分量分析(ICA)方法作为语音分解的理论依据,以时频分布和距离测度作为语音辨认的实现工具,完成了混叠语音场景分析过程。
3.
Real-coded genetic annealing algorithm based on distance measurement is a new algorithm for global-searching which proposed by Cai Liang Wei in 2004.
基于距离测度的实数编码遗传模拟退火算法是2004年蔡良伟提出的一种具有全局搜索能力的新算法。
补充资料：单侧置信区间
分子式：
CAS号：
性质：只设置在被估参数一侧，左侧或右侧的置信区间。
CAS号：
性质：只设置在被估参数一侧，左侧或右侧的置信区间。
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