The present paper presents a new NIR multi-component analysis method with Artificial Neural Network (ANN) and Partial Least Square Regression (PLS).
提出了一种神经网络(ANN)和偏最小二乘法(PLS)结合的新的近红外(N IR)多组分分析法。
The partial least square regressive method (PLS) is applied to build the model estimating the annual load of NSP, whose results are compared with the ones of least square method.
为此，判断了影响负荷的经济因素之间存在的多重共线性，用偏最小二乘回归方法消除其共线性影响，并建立了预测模型。
The partial least square (PLS) method for spectrophotometric simultaneous determination of phenylalanine, tryptophan and tyrosine in the mixed amino acids was studied.
本文将偏最小二乘法(PLS)用于分光光度法同时测定混合氨基酸体系中的苯丙氨酸、色氨酸和酪氨酸。
Methods Partial least square (PLS) method was used to train the training sets and predict the predictive sets.
方法采用偏最小二乘法(PLS)对校正集进行校正，并对预测集中的样本进行预测。
Methods Partial least square (PLS) method was used to train the training sets and predict the predictive sets.
方法采用偏最小二乘法(PLS)对校正集进行校正，并对预测集中的样本进行预测。
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