间隔偏最小二乘,iPLS
1)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。
英文短句/例句

1.Analysis of NIR Characteristic Wavelengths for Apple Flesh Firmness Based on GA and iPLS基于遗传算法和间隔偏最小二乘的苹果硬度特征波长分析研究
2.A Study on China s Non-governmental Investment Based on Partial Least-Square Regression Approach;我国民间投资的偏最小二乘回归研究
3.A SIMPLE PARTIAL LEAST SQUARES ALGORITHM BASED ON LEAST ABSOLUTE DEVIATION基于最小一乘的单因变量偏最小二乘算法
4.The PLS Variable Selection Method and Its Application;偏最小二乘变量筛选法及其应用研究
5.Data Analysis Based on Hierarchical Partial Least-squares Regression;基于递阶偏最小二乘回归的数据分析
6.The Regressive Research of Bias Least Square Method of Public Financial Capability of China;我国财政能力的偏最小二乘回归研究
7.A new application of multiblock partial least squares regressionMultiblock偏最小二乘方法的新应用
8.The fault monitoring and diagnosi based on KPLS基于核偏最小二乘的故障监控与诊断
9.Boosting Partial Least Squares and Its Applications in Data Mining助推偏最小二乘法(BPLS)及其应用
10.Simulating Pricing for American Put Options Based on Partial Least Square Method基于偏最小二乘回归的美式期权仿真定价方法
11.Non-destructive Quantitative Analysis for Tablets by Use of PLS and Near-infrared Spectroscopy;近红外光谱-偏最小二乘法无损非破坏药物分析
12.Partial Least-Square Regression and Its Application on Parameter Prediction in the Units;偏最小二乘回归及其在机组参数预测中的应用
13.Improvement and Application of Back Propagation Network Based on Partial Least- Squares Algorithm;基于偏最小二乘的BP网络模型及其应用
14.The Study of Some Problems in Partial Least Squares Regression;偏最小二乘回归分析中若干问题的研究
15.Moderate Deviations Principle and the Law of the Iterated Logarithm for LSE in Linear Models;线性模型中最小二乘估计的中偏差及重对数律
16.Partial Least Squares Regression and Its Applications;偏最小二乘回归的扩展及其实用算法构建
17.Partial Least Squares Regression Model and Applications on Education Statistics;偏最小二乘回归模型及其在教育统计中的应用
18.Research and Soft Sensing Applications of Partial Least-Squares Regression;偏最小二乘回归理论的研究及软测量应用
相关短句/例句

interval partial least squares间隔区间偏最小二乘法
3)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。
4)PLS偏最小二乘
1.PLS estimation and application of the fixed effect of panel data model s parameters;固定影响平行数据模型参数的偏最小二乘估计
2.PLS Logistic Regression on Compositional Data and Its Application;成分数据偏最小二乘Logistic回归模型及其应用
3.PLS estimation and application of fixed effect panel data model parameters;固定影响平行数据模型参数的偏最小二乘估计及应用
5)partial least squares偏最小二乘
1.Chronopotentiometry using wavelet transform and partial least squares method;小波分析和偏最小二乘法相结合用于示波计时电位同时测定铅和铊中的研究
2.Dynamic Optimized Partial Least Squares Regression;动态优化偏最小二乘模型的建立与应用
3.The partial least squares regression algorithm was used to build the quantitative analysis model.分别对光谱进行卷积平滑、快速傅里叶变换、一阶导数和二阶导数预处理,采用偏最小二乘回归法建立样品中主药含量的定量分析模型。
6)partial least square偏最小二乘
1.Process quality prediction method based on wavelet denoising recursive partial least square;基于小波变阈值去噪递推偏最小二乘的加工质量预测方法
2.A new approach based on partial least square(PLS) was used in the multi-parameter monitoring and analysis of the resistance spot welding(RSW) quality.将一种新型的统计回归方法——偏最小二乘(PLS,partial least square)方法用于点焊质量的多参数监测与分析中。
3.Further more, standard genetic algorithm(GA) can select a few wavelengths only, so the model can not exploit the advantage of partial least square(PLS).为此本研究提出先用移动窗口偏最小二乘法(MWPLS)从宽谱区中初选出信息区间,再采用改进的迭代遗传算法(IGA)从中选出最优的信息子区间。
延伸阅读

偏最小二乘法分子式:CAS号:性质:一种基于特征变量的回归方法。也可看成是有偏估计中的一种回归方法。近年来在化学计量学的多元校正和模式识别中得到十分广泛的应用。偏最小二乘法是由瑞典统计学家沃尔德(H·Wold)提出,其基本运算是基于非线性迭代偏最小二剩算法(nonlinear iterative partial least squares; NIPALS),故有偏最小二乘法之称。它与主成分回归不同之点就在于它不但分解X矩阵,同时也分解Y矩阵,并在分解X矩阵时利用Y矩阵的信息,在分解Y矩阵时利用X矩阵的信息,从而使回归结果更好些。另外,因其本质上是一种基于特征变量的解析方法,故也可用于化学模式识别之中,进行降维处理。由于偏最小二乘法在化学中得到非常广泛的应用,故很多化学计量学家对该算法进行了改进和拓展,提出了快速偏最小二乘、非线性偏最小二乘法、稳健偏最小二乘法等。