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- Application of Digital Fourier Filtering Pretreatment Method to Improving Robustness of Multivariate Calibration Model in Near Infrared Spectroscopy 应用数字傅里叶滤波方法提高近红外光谱多元校正模型稳健性的研究
- Multivariate calibration model 多元校正模型
- By calculating the value of REP, the model of the multivariate calibration titration has been evaluated and optimized in this paper. 通过计算REP值，本文对多元校正滴定分析的模型进行了评估及优化。
- Owing to good nonlinear multivariate calibration nature of ANN,the predicted results was reliable. 由于人工神经网络好的非线性的多变量校正特点,预测结果是准确的。
- An algorithm for constructing adaptive wavelet filters was proposed, and applied to multivariate calibration of the near infrared (NIR) spectra. 摘要实现了一种构建自适应小波滤波器的方法，并将其用于近红外光谱数据的多元校正。
- The influence of pathlength selection on prediction accuracy of univariate calibration and multivariate calibration is investigated. 研究了光程长的选择对于单变量光谱分析和多变量光谱分析的测量精度的影响。
- The main research content of the dissertation involves:1.The selection principle of optimal pathlength in multivariate calibration is proposed and established. 论文的主要研究内容为：1．首次提出并建立了多变量光谱分析中最佳光程长的选择原理。
- The purpose of this review is to highlight the application of several multivariate calibration methods such as LS,PLS, KF and TFA according to a number of literatures. 根据近年来的相关文献，LS、PLS、KF及TFA等几种常用的多变量校正法在分析化学等领域具有极其广泛的应用。
- For a set of gasoline samples, multivariate linear regression (MLR) and partial least squares (PLS) calibration models are built to predict research octane number (RON). 2．针对一批实际生产装置的汽油样品，采用近红外光谱定量分析中常用的多元线性回归(MLR)与偏最小二乘(PLS)方法，建立了汽油研究法辛烷值NIR光谱预测模型。
- To solve the problem of calibration transfer in multivariate calibration of chemometrics, Procrustes analysis (PA) algorithm and piecewise direct standardization (PDS) algorithm are applied. 摘要采用普鲁克分析(PA)算法和分段直接校正(PDS)算法，解决化学计量学多元校正中的模型传递问题。
- The first one of them is a 2-D model of the NASA GA(W)-1 airfoil section and has been tested as a calibration model. 最初选用的模型是NASA GA(W)-1翼型,并作为校验模型。
- The NIRS data were pretreated by the standard normal variate(SNV),and the calibration model was developed using partial least square(PLS). 光谱通过标准正态变量转换法的处理后经过偏最小二乘法建立模型,并且以定标集预测误差、验证集预测误差及其相关系数作为评判模型好坏。
- multivariate calibration analysis 多元校正分析
- Multivariate calibration methods 多元建模方法
- In the algorithm, the factors extracted from the data set of the multicomponent system with factor analysis technique have been employed to construct the calibration model of KF. 该法运用因子分析法提取多组分化学体系量测数据矩阵中的因子构建卡尔曼滤波校正模型,以克服卡尔曼滤波法依赖于纯物质光谱建模的内在局限性。
- Result: RMSECV(root-mean-square error of cross-validation)of the model for forsythoside A was 0.221 and the correlation coefficients of the calibration model was 0.969. 结果：建立的定量模型准确性好，内部交叉验证均方差(RMSECV)、内部交叉验证决定系数分别为0.;221，0
- The calibration models of moisture, protein, fat, lactose, and sucrose for CHMP are established with MLR. 使用多元线性回归法分别建立了近红外检测的儿童高钙奶粉水分、蛋白、脂肪、乳糖和蔗糖的快速测定模型。
- This paper presents the study,by means of comparison and alalysis,on the correlation of the measured data of the aerodynamic forces on an AGARD calibration model B in BIA's hypersonic wind tunnel FD 07 with those in other hypersonic wind tunnels. 通过比较分析法研究AGARD B标模在BIA的FD 0 7风洞中气动力测量数据与其它高超声速风洞设备测量结果的相互关联。
- We have applied shortwave near infrared spectroscopy combined with partial least squares(NIRS-PLS) to develop a calibration model for the determination of alcohol content in Distilled Spirits. 应用短波近红外光谱结合偏最小二乘法(NIRS-PLS)建立白酒中乙醇含量定量分析数学模型,通过选取最佳波长范围和最适主因子数对模型进行优化。
- A simple calibration model was developed for digital fringe projection profilometry (DFPP) based on absolute phase extraction and space mapping techniques to simplify the measuring system. 建立了数字光栅投影轮廓测量系统的简易标定模型,以实现测量系统的简便化和便携式应用。
