• Then analysis several main factors use of principal component analysis algorithm, rejecting the factor with minimum weight.

    对其中的几个主要因素进行主成分分析,剔除权重最小的因素;

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  • Inspired by the nonnegative matrix factorization algorithm, we put forward an fuzzy text clustering method based on nonnegative factor analysis.

    本文借助于非负矩阵分解算法,提出了一种基于非负因子分析的模糊文本聚类方法。

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  • Conclusion the maximum likelihood method based on MCECM algorithm can be used to estimate the parameters of non-linear factor analysis model.

    结论基于MCECM算法的极大似然估计方法可用于估计非线性因子分析模型的参数。

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  • The research showed that it was available to apply BP algorithm in the quantitative analysis of several factor of the energy intensity in the iron-making process.

    研究结果表明用神经网络BP算法构造的网络模型,用于练铁工序能耗多因素的定量分析是可行的。

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  • 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。

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  • Finally, based on the stress fields of FEM analysis, the most dangerous sliding mode and the minimum anti-sliding factor are searched by parallel recombination simulated annealing algorithm.

    最后基于该方法计算的应力场,应用并行组合模拟退火算法搜索坝基最危险滑动模式及相应的最小安全系数。

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  • Finally, based on the stress fields of FEM analysis, the most dangerous sliding mode and the minimum anti-sliding factor are searched by parallel recombination simulated annealing algorithm.

    最后基于该方法计算的应力场,应用并行组合模拟退火算法搜索坝基最危险滑动模式及相应的最小安全系数。

    youdao

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