提出了一种基于混合因子分析的分布估计算法。
The paper describes an approach based on estimation of distribution algorithms.
提出了一种基于混合因子分析的分布估计算法。
Estimation of distribution algorithms (EDAs) is a new meta-heuristic algorithm.
混合因子分析模型是一种非线性的分析高维数据的工具。
Mixtures of factor analyzers, is a nonlinear tool for high-dimension data.
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。
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.
对混合物进行目标因子分析，得到的结果与参考值一致。
The results of targetfactor analysis agree well with practical values .
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。
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。
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.
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