factorial experiment design meaning in Chinese
析因实验设计
Examples
- This article describes the development process of surrogate models and introduces some experiment design methods and approximation approaches that can be used for a mdo surrogate model , they are full factorial experiment design , orthogonal experiment design , uniform experiment design , central - composite experiment design , and polynomial response surface method , kriging method , radial basis function method and artificial neural network
为此本文中分别介绍了正交试验，均匀试验以及中心复合试验等几种试验设计方法，以及多项式响应面， kriging ，和径向基函数等几种数学近似方法。并且通过构造描述机翼展向升力分布的代理模型，对上述几种方法作了对比分析。 - Its basic principle is to regard selecting or do not selecting a feature as a two - level independent factor ; the parameters of svm as continuous noise factors ; the accuracy of the svm model as the dependent variable ; to employ a fractional factorial experiment design to form the experiment which combines the two - level factors and the noise factors ; after the experiment is finished , to analyze the effect of each factor to determine the effective independent factor combination , namely the best feature combination for the svm model
其基本原?为：将一个输入变?的选取与否视为一个二水准的实验因子；将一个? ?视为一个?续的噪音因子；将模型的准确?视为因变? ； ?用部分因子实验设计得到实验因子与噪音因子的组合；实验完毕后，进?因子的效果分析，以决定最佳的实验因子组合，即最佳的输入变?组合。