采用一阶导数方法对光谱进行预处理；利用偏最小二乘法建立模型。
The original spectrum is processed by using first derivative, and applying Partial Least-Squares method to set up linear mathematical model.
结果表明，基于提取的茶叶近红外光谱数据，利用偏最小二乘法（PLS）的甄别效果优于标准法，可以直观地将59个来自不同产地、品种和加工工艺的茶叶样品进行准确的分类判定。
The results showed that the model of PLS was better than that of standard algorithm. Depending on the collected NIR data of 59 tea samples with different regions, assortment and manufact…
讨论了采用偏最小二乘法（PLS）建立校正模型过程中样品预处理及利用常规吸收峰优选波长的方法。
The sample pre-treatment during setting up the correcting model by partial least-squares (PLS) and the way of optimizing wavelength according to normal absorption peak are discussed.
讨论了采用偏最小二乘法（PLS）建立校正模型过程中样品预处理及利用常规吸收峰优选波长的方法。
The sample pre-treatment during setting up the correcting model by partial least-squares (PLS) and the way of optimizing wavelength according to normal absorption peak are discussed.
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