1) matching measure matrix
匹配度量矩阵
1.
To solve this problem,a new algorithm namely many-to-one matching decision algorithm based on correction of perturbation for matching measure matrix is proposed.
为此,提出了一种新的匹配判决算法——基于匹配度量矩阵扰动校正的多对一匹配判决算法。
2) matching matrix
匹配矩阵
1.
Applying matching matrix, factor analysis and clustering analysis to investigation of characteristics of syndromes of phlegm and blood stasis in patients with coronary heart disease;
应用匹配矩阵、因子分析和聚类分析法研究冠心病痰瘀证候特征
2.
Designing a arithmetic under the sistuation that make sure the length of one string is smaller than another strings′ and the position of inserting blank space in strings′ matching matrix makes similar degree gain the biggest value,and the computation number is also decrease greatly.
用2个字符串滑动比较时匹配的字符数和2字符串滑动比较的重叠率定义了相似度的衡量指标,在确定一个字符串比另一个字符串少的情况下,设计了一种算法,试验结果表明该算法实现了在字符串匹配矩阵中确定插入空格的位置使相似度指标达到最大值,并且算法的计算次数也明显地减少。
3.
Secondly, PSO is used to minimize the above energy function, and then we are able to combine the estimation of both spatial mapping parameters and matching matrix between the two point-sets.
该方法首先确定两个特征点集的点匹配问题的能量函数,通过最小化该能量函数可以同时得到点集之间的匹配矩阵和映射参数,利用粒子群优化算法求解变换参数,实验表明,该算法适用于点匹配,具有操作方便、可靠性好、不易陷入局部极值等优点。
3) match matrix
匹配矩阵
1.
Then by registrating the Frenet frames for each pair,a set of match matrix was obtained.
通过曲率计算匹配点对列表,通过对齐匹配点对的弗朗内特标架进行曲线匹配,得到一个匹配矩阵集。
2.
A convex TPS bending energy function describing the problem is derived and a one-to-one two-way matching constraint on the match matrix is enforced.
首先提出基于TPS弯曲能的非刚性匹配的能量函数 ,然后采用确定性退火技术 ,迭代求解点集之间的匹配矩阵和映射参数 。
4) matched matrix
匹配矩阵
1.
The conventional fuzzy integration evaluation model is improved, the concept of matched modification is proposed and a matched matrix is built.
对传统模糊综合评估模型进行了改进,提出了匹配修正的概念并构造了匹配矩阵,解决了传统模糊综合评估模型中因权向量与模糊矩阵之间失配而造成的超模糊问题。
5) Strategic Matrix Matching
战略矩阵匹配
6) Cycling matching matrix
循环匹配矩阵
补充资料：匹配
分子式：
CAS号：
性质：当试图满足目标（或子目标）时，PROLOG总是从程序的顶部出发自上而下扫描寻找匹配。当目标的谓词和所有的自变量恰好与程序中的某语句的谓词和自变量一致时，匹配找到了。当匹配一个自由变量时，PROLOG将其实例化为常量。
CAS号：
性质：当试图满足目标（或子目标）时，PROLOG总是从程序的顶部出发自上而下扫描寻找匹配。当目标的谓词和所有的自变量恰好与程序中的某语句的谓词和自变量一致时，匹配找到了。当匹配一个自由变量时，PROLOG将其实例化为常量。
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