...主成份回归 [gap=1073]ng; Partial least squares regression; PTA solvent dehydration tower; Regression; Principle component regression ...
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主成分回归分析;principle component regression;PCR 聚合酶链式反应;基因体外扩增技术;核酸体外扩增技术;PCR;polymerase chain r…
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与传统的多元校正算法PLS,主成分回归(Principle Component Regression,PCR),非线性PLS(NonlinearPLS,NPLS)等相比,该混合算法所建的非线性参数模型的预测结果...
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中药分析信息处理技术的应用研究 - docin.com豆丁网 egression,MLR)、岭回归(mdgeregression, RR)和kalman滤波算法;间接校正包括主成分回归法(Principlecomponentregression,PCR)、 偏最小二乘法(Partialleast square,PLS)【32】。此外,还有文献报道了一些
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The model of calibration obtained by this method was found to be better in accuracy than the model obtained by the principle component regression method.
该模型与通过主成分回归法得到的模型相比,预测结果更准确。
The paper briefly introduced the theoretical foundation of MSP method, which include Principle Component Analysis (PCA), Principle Component Regression (PCR), and Partial Least Squares (PLS).
介绍了多变量统计投影方法的主要理论基础,包括:主元分析(PCA)、主元回归(PCR)、偏最小二乘(PLS)。
These methods include the Principle component analysis, the Regression analysis, the Grey cognate analysis, the Delphi, the Ordering method, the Analytical Hierarchy Process, Fuzzy method.
目前学术界对土地等级评价所使用的主要方法有:主成分分析法、回归分析法、灰色关联度分析法、特尔斐法、排序法、层次分析法、模糊综合评价法。
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