1) grouping and counting
分组记数
1.
In this paper,an algorithm based on grouping and counting is proposed to build the decision tree,which uses the structured query language provided by relational database to implement the major statistics tasks of then training data.
提出了一种利用数据库分组记数技术构造决策树的算法,利用数据库系统的结构化查询语言来实现主要的样本统计计算任务。
2) memory array
记忆数组
1.
The memory array is used to save those qualified antibodies in each period.
利用记忆数组存放每一代中满足条件的抗体,制定了记忆数组更新策略,从而得到最优抗体。
3) array of record
记录数组
4) packet marking
分组标记
1.
This text studies the packet marking policy in DiffServ networks.
研究了区分服务中的分组标记策略。
2.
In this paper, the packet marking algorithm, one of the key mechanisms in DiffServ is studied.
研究了区分服务的一个关键机制——分组标记策略 ,并提出了一个具有公平性的分组标记算法 (fair marking packet algorithm,简称FMPA) ,通过仿真把该算法与现有的等比例的标记算法进行比较 。
5) group record
分组记录
6) score function
记分函数
1.
Characteristics and inadequateness of present score functions in the vague set theory are analyzed,and main factors of score functions are discussed.
分析了Vague集理论中记分函数的内涵、本质及现有几种主要记分函数的优缺点,指出了构造记分函数时应考虑的主要因素。
2.
Gives an uncertainty definition for i-v Vague sets,and extends the score function of real number Vague set group decision to i-v Vague sets.
给出i-v V ague集的含糊度定义,将实数型V ague集群决策的记分函数方法扩展到区间值V ague集上,用实例比较各种记分函数方法的优缺点。
3.
The paper developed similarity measure of real number vague sets based on score function to i-v Vague sets by using the mean of interval number and Hausdorff metric respectively, and compare the advantage and disadvantage of different methods.
分别利用区间的中值和Hausdorff测度将基于记分函数的实数型Vague集的相似度方法扩展到i-vVague集上,比较各种方法的优缺点。
补充资料：《数术记遗》
见《算经十书》。
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