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1)  interval partial least squares
间隔区间偏最小二乘法
2)  iPLS
间隔偏最小二乘
1.
In order to remove the effects of scattering and noise on multivariate calibration of IR spectral signals,orthogonal signal correction(OSC) was used as a method to preprocess the infrared spectra of the hydrocarbon source rocks to be quantitatively determined,thus to establish the calibration model of hydrocarbon source rocks before and after pretreatment by inetval partial least square(iPLS).
文章利用正交信号校正算法(OSC)作为一种光谱过滤手段,并与间隔偏最小二乘(iPLS)相结合,有效地消除了粉末状样品散射光的影响,可以显著提高烃源岩红外光谱预测模型的准确性,使得红外漫反射光谱技术在石油录井中有了广阔的应用前景。
3)  Backward interval PLS(BiPLS)
反向区间偏最小二乘法
4)  interval partial least square
区间偏最小二乘法
1.
[Method] The K-S(Kennard-Stone) method was used to divide the sample set and the wavelet noise filtering method was used to pretreat the near infrared spectrum at 1 000~2 500 nm in strawberry,at last the partial least squares(PLS)and interval partial least squares(iPLS)were used to set up the prediction model resp.
[方法]利用K-S(Kennard-Stone)方法划分样本集,并用小波滤噪法对草莓1000~2500 nm近红外光谱进行预处理,最后用偏最小二乘法(PLS)和区间偏最小二乘法(iPLS)分别建立预测模型。
5)  synergy interval partial least square
联合区间偏最小二乘法
1.
Partial least square(PLS),interval partial least square(iPLS) and synergy interval partial least square(siPLS) methods were used to establish the calibration models of sugar content.
为了探寻一种快速无损检测猕猴桃糖度的方法,利用小波滤噪法对猕猴桃1000~2500nm近红外光谱进行了预处理,并用偏最小二乘法(PLS)、区间偏最小二乘法(iPLS)和联合区间偏最小二乘法(siPLS)分别建立预测模型。
6)  Synergy interval partial least squares(siPLS)
组合的间隔偏最小二乘法
1.
Synergy interval partial least squares(siPLS) is used for selecting effective spectral regions and building the quantitative calibration models of the total nitrogen and geniposide.
首先采用Kernard-Stone法对训练集样本和预测集样品进行分类,然后应用组合的间隔偏最小二乘法(Synergy interval partial least squares,siPLS)对所得近红外透射光谱进行有效谱段范围的选择以及二者定量校正模型的建立,并对光谱预处理方法进行了详细的讨论。
补充资料:区间
表示实变量x的取值范围。设a、b是两个实数,且a<b,满足a<x<b的实数x的集合记为(a,b)或]a,b[,称为开区间;满足a≤x≤b的实数x的集合记为[a,b],称为闭区间。满足a≤x<b或a<x≤b的实数x的集合,分别记为[a,b)、[a,b[或(a,b]、]a,b],称为半开半闭区间。
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