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1)  orthogonal array
正交表
1.
Parallel algorithm of support vector machine based on orthogonal array;
基于正交表的支持向量机并行学习算法
2.
On the complete interaction columns of orthogonal array;
正交表的完备交互作用列
3.
Some Characters of Orthogonal Array L 8;
正交表L_8的几个性质
2)  orthogonal table
正交表
1.
Application of orthogonal table to threshold scheme;
正交表在门限方案设计中的一种应用
2.
On the basis of discussing the basic principles of the above two methods,compares in the aspects of the ways to hunt optimal solution and corresponding relationships among the parameters are conducted and then the method to construct the initial population of generic algorithm with orthogonal table is introduced.
在简要讨论正交试验设计法和遗传算法的基本原理基础上,对两种方法的寻优算法、各个参数的对应关系作了比较分析,探讨了用正交表构造遗传算法中初始种群的方法。
3.
In each times of orthogonal design, the experimental points which detect the design space are generated according to the orthogonal table around a central point and the range o.
每一轮正交设计中,探索设计空间的试验点依据正交表围绕一个中心点产生,设计变量的取值范围逐渐减小。
3)  Orthogonal arrays
正交表
1.
The 64 orthogonal arrays,which originated from the literatures in Chinese,are categorized according to self-checking of quadratic sum and degree of freedom.
对来自中文源文献的64张正交表按其有无平方和、自由度的自检功能进行了分组归类。
2.
In the first piece of writing, a new method of data analysis of orthogonal arrays from global to local is proposed, called GL Algorithm (Global-Local Algorithm), which gives us a way to find out a stable center of a known or unknown multivariate function.
第一部分给出一种从全局到局部的正交表数据分析新方法,称为GL算法(Global-Local Algorithm)。
3.
Orthogonal balanced (or nearly balanced) block designs ( or generalized orthogonal arrays) are new ones which are similar to the orthogonal Latin squares (or orthogonal arrays).
正交平衡区组设计(或者广义正交表)是一种类似于正交拉丁方(或者正交表)的新设计。
4)  orthogonal form
正交表格
5)  orthogonal representations
正交表示
6)  orthogonal design table
正交设计表
1.
It can treat complicated data in the orthogonal design table accurately and directly.
它能准确直接处理正交设计表中的复杂数据。
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性质:利用正交特性所设计的试验安排表。它具有以下两个基本性质:(1)任意一列中各水平出现的次数相同;(2)任意两列所构成的水平对中,每个水平对重复出现的次数相同。正交表各个符号的意义是:用正交表安排试验有两个明显的特点:(1)因素之间搭配均匀;(2)在试验中各因素水平按一定顺序有规律地变化,各因素各水平出现的次数相同,其他各因素对试验指标的影响基本相同,最大限度地排除了其他因素的干扰,突出了被考察因素的主效应。

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