題目：Geometric properties of partial least squares for process monitoring ...
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Geometric properties of partial least squares for process monitoring(過程監(jiān)控的偏最小二乘幾何性質(zhì)) -
A comparison and evaluation of key performance indicator-based multivariate statistics process mo...題目：A comparison and evaluation of key performance indicator-based multiv...
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Multiblock PLS-based localized process diagnosis(基于多模塊PLS 局部化過程診斷)
論文題目：Multiblock PLS-based localized processdiagnosis 基于多模塊的PLS 局部化...
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Total Projection to Latent Structures for Process Monitoring(用于過程監(jiān)控的潛在結(jié)構(gòu)的全投影)題目：Total Projection to Latent Structures forProcess Monitoring ...
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C-PLS(Concurrent Projection to Latent Structures)并發(fā)潛結(jié)構(gòu)映射1、提出原因： PLS： 第一蔚润，在得分空間中構(gòu)造的統(tǒng)汁量T2，包含了與輸出正交的成分，但這些變量與輸出是不相關(guān)的苍在。 第二闻葵，PLS不像PC...
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ICA(Independent Component Analysis)一情龄、背景： seeks to extract these independent components and the mixing matri...
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PLS(Partial Least Squares)偏最小二乘1、模型 2捍壤、模型的引入 3骤视、模型的求解——非線性迭代偏最小二乘法NIPALS 4、確定主成分的個(gè)數(shù)——交叉驗(yàn)證 6鹃觉、其他
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PCA(Principal Component Analysis )主成分分析1专酗、模型 2、模型求解 2.1非線性迭代最小二乘NIPALS 2.2X的協(xié)方差矩陣的特征值分解和SVD分解 3盗扇、主元個(gè)數(shù)的選取——累積方差貢獻(xiàn)率...
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