• Figure 7 shows a sample ROT result matrix that is displayed after you have started ROT analysis on the PWH data.

    7所示为启动P WH数据ROT分析所显示示例ROT结果矩阵

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  • Based on an analysis of the historical data and electricity consumption behaviors, customers' response to SOU price is first described by a price elasticity matrix of demand.

    基于用户历史数据电力消费行为分析通过建立丰枯季节电价的电量电价弹性矩阵反映用户对丰枯季节电价的响应

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  • It proposes two data reduction models based on discernibility matrix and data analysis separately, improves the discernibility matrix algorithm and made the comparison between the two models.

    提出基于分辨矩阵数据分析种数据约简模型对分辨矩阵算法了改进最后对这两种模型进行了比较。

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  • Combined the data of 20 mini tailings dams that take out randomly in one area, the hazard of mini tailings dams is analyzed in the way of the analysis of the matrix of risk assessment code.

    利用鱼刺图分析小型尾矿库存在风险结合地区随机抽取20个小型尾矿的相关数据通过风险评价指数矩阵法分析此地区小型尾矿坝的风险,确定了该地区小型尾矿库的风险等级。

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  • Some ordinary forms of sparse matrix and the application of sparse matrix technology in astrometric and geodetic VLBI data analysis are introduced.

    介绍了稀疏矩阵四种常见形式以及稀疏矩阵技术天测测地VLBI数据处理中的应用

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  • In this paper, based on the correlation matrix analysis of sample data, a principal component analysis method is used.

    本文模型估计部分,依据样本数据相关矩阵分析结果,采用样本成分分析的方法

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  • The relationship matrix between fault reasons and malfunction symptoms can be obtained by failure analysis and historical fault data and can be reduced by the application of rough set theory.

    通过故障分析历史故障数据得到故障原因-征兆相互关系矩阵应用粗糙集理论简关系矩阵。

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  • Based on an incomplete data analysis method of the rough set theory and the distinguish matrix, bring forward an improved ROUSTIDA algorithm.

    基于粗糙理论完备数据分析方法,以可辨识矩阵作为算法的基础,提出了一种改进的不完备数据分析方法。

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  • The spectral matrix and interferences were corrected. The result of experimental data analysis has shown that the method is simple, rapid and precision was satisfactory.

    通过对谱线进行基体校正干扰校正,实验数据处理结果表明方法简单快速,且具有较好的准确度和精密度。

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  • To facilitate clustering analysis and visualization of data, the Emergent Self-Organizing Feature Maps (ESOM) and a boundless U-matrix are needed.

    本文通过利用涌现自组织特征映射神经网络数据进行聚类分析通过无边界u矩阵实现可视化功能

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  • Non-negative matrix factorization (NMF) has been proposed for multivariate data analysis, with non-negativity constraints.

    非 负数据处理的一种多元统计分析方法

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  • Non-negative matrix factorization (NMF) has been proposed for multivariate data analysis, with non-negativity constraints.

    非 负数据处理的一种多元统计分析方法

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