...了目前应用一般的最小二乘法建立均匀试验数据的二次多项式回归模型时存在的局限性,提出了应用偏最小二乘法(Partial least-square,PLS)建立二次多项式回归模型的技术,并且进一步介绍了偏最小二乘回归(PLS回归)在均匀设计中的应用。
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应用偏最小二乘法结合近红外光谱法（NIRSPLS）对吡嗪酰胺片中吡嗪酰胺的含量进行了非破坏性定量分析。
Near infrared diffuse reflectance spectroscopy with partial least square fitting (NIRSPLS) was applied for nondestructive quantification of the content of Pyrazinamide in Pyrazinamide tablets.
神经网络偏最小二乘法(NNPLS)被应用于一种甲烷氧化偶联多组分催化剂的鲁棒反应模型的建立。
In this paper neural network partial least square (NNPLS) was used to establish a robust reaction model for a multi-component catalyst of methane oxidative coupling.
在原位标定输入输出观测数据均含有噪声的情况下，应用传统的最小二乘法进行参数辨识将会得到有偏的结果。
If both of the input and output data in in-situ calibration contain have noises, the result will be a biased one when the traditional least squares method is used for parameter identification.
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