1) two-dimensional partial least square(2DPLS)
2维偏最小二乘法
1.
In this paper,we proposed a local feature extraction method based on a two-dimensional partial least square(2DPLS) for images,and then applied it in the facial expression recognition.
为了更有效地提取图像的局部特征,提出了一种基于2维偏最小二乘法(two-dimensional partial leastsquare,2DPLS)的图像局部特征提取方法,并将其应用于面部表情识别中。
2) N-way partial least square
多维偏最小二乘法
1.
A new multivariate calibration method for near infrared spectroscopy quantitative analysis was proposed based on wavelet analysis and N-way partial least square method.
将小波变换和多维偏最小二乘法相结合用于近红外光谱定量校正模型的建立。
3) N-way Partial Least Square Model
多维偏最小二乘法模型
4) Partial Least Squares based Dimension Reduction
偏最小二乘降维
1.
Among various dimension reduction algorithms, PLSDR (Partial Least Squares based Dimension Reduction) is one of the most effective methods.
在学者们已经提出的众多数据降维算法中,偏最小二乘降维方法PLSDR(Partial Least Squares based Dimension Reduction)是其中较为有效的算法之一。
5) Partial least squares
偏最小二乘法
1.
A kind of variable selection method by application of partial least squares;
利用偏最小二乘法的一种变量筛选法
2.
The useful near-infrared spectrum information was picked up by using genetic algorithms,and the near-infrared quantitative correction model was established by partial least squares(PLS) method.
以两组棉制品为研究对象,利用遗传算法提取有效近红外光谱信息,采用偏最小二乘法(partial least squares,简称PLS)建立了棉制品中含棉量的近红外定量的校正模型,讨论了遗传算法提取有用信息的具体应用方法。
3.
The application of PLS (partial least squares) and near infrared spectroscopy for compound aspirin tablets non destructive quantitative analysis was investigated and the best mathematic calibration models were built.
将偏最小二乘法 (PLS)与近红外漫反射光谱法相结合 ,对复方乙酰水杨酸片进行无损非破坏定量分析 ,建立了最佳的数学校正模型 ,比较了样品中 3种有效成分 (乙酰水杨酸、非那西丁和咖啡因 )同时测定和单独测定时的主成分数对PLS定量预测能力的影响 ,预测了未知样品。
6) PLS
偏最小二乘法
1.
Structure-Activity Relation Study of Fentanyl Derivatives and Multicompontens Quantitative Analysis Using BP and PLS Algorithm;
神经元网络技术和偏最小二乘法在定量分析和构效关系方面的比较
2.
Predicting High Temperature Detergent Performance of Engine Lubricant by PLS;
发动机润滑油高温清净性能的偏最小二乘法预测
3.
Discrimination of Tea Varieties by Mid-Infrared Spectroscopy Combined with PLS;
偏最小二乘法在红外光谱识别茶叶中的应用
补充资料：最小一乘法
分子式：
CAS号：
性质：对于一个含有浓度为及(i=l，2，…，k)的是个组分的体系，在分析通道j(j=1，2，…，J)的响应值为 在条件下优化求解浓度Xk的方法。在数据随机误差不服从正态分布时，本法的统计性能优于最小二乘法。
CAS号：
性质：对于一个含有浓度为及(i=l，2，…，k)的是个组分的体系，在分析通道j(j=1，2，…，J)的响应值为 在条件下优化求解浓度Xk的方法。在数据随机误差不服从正态分布时，本法的统计性能优于最小二乘法。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条