Target Factor Analysis (TFA) is kind of mathematical technique for solving multidimensional problems of a certain type.
目标因子分析法(TFA)是一种对多元系统进行统计分析的计算数学方法。
There is no need for the proposed method to acquire a set of sample mixtures with varied concentrations as for the case of target transformation factor analysis.
与需要一组浓度不同的混合物光谱的目标转换因子分析法不同,本法仅用一份试样即可完成定性定量分析。
Then carries on each maneuvering performance using ADAMS to the dummy specimen the simulation analysis, the confirmation maneuvering performance influence factor and the appraisal target.
然后利用ADAMS对虚拟样机进行各项机动性能的仿真分析,验证机动性能的影响因素和评价指标。
Based on the iterative target transformation of factor analysis a new algorithm for estimating the component spectra from multicomponent mixture system is developed in this paper.
基于因子分析的迭代目标转换算法,本文提出一种从完全未知混合物体系中获取纯物种光谱的解析方法。
Variance analysis shows that the type of catalysts is the major factor influencing the yield of target product.
方差分析结果表明,催化剂类型是影响六氯环三磷腈产率的主要因素。
Variance analysis shows that the type of catalysts is the major factor influencing the yield of target product.
方差分析结果表明,催化剂类型是影响六氯环三磷腈产率的主要因素。
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