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A fast progressive spectrum denoising combined with partial least squares algorithm and its application in online Fourier transform infrared quantitative analysis 期刊论文
ANALYTICA CHIMICA ACTA, 2019, 卷号: 1074, 页码: 62-68
Authors:  Zhang, Genwei;  Peng, Silong;  Cao, Shuya;  Zhao, Jiang;  Xie, Qiong;  Han, Quanjie;  Wu, Yifan;  Huang, Qibin
Favorite  |  View/Download:20/0  |  Submit date:2019/07/11
Fourier transform infrared spectroscopy  Progressive spectrum denoising  Augmented Lagrange method  Partial least squares  Quantitative analysis  
Calibration Transfer Based on Affine Invariance for NIR without Transfer Standards 期刊论文
MOLECULES, 2019, 卷号: 24, 期号: 9, 页码: 19
Authors:  Zhao, Yuhui;  Zhao, Ziheng;  Shan, Peng;  Peng, Silong;  Yu, Jinlong;  Gao, Shuli
Favorite  |  View/Download:3/0  |  Submit date:2019/09/30
near-infrared (NIR) spectroscopy  calibration transfer  affine invariance  multivariate calibration  partial least squares (PLS)  
A Regularized Variable Projection Algorithm for Separable Nonlinear Least-Squares Problems 期刊论文
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2019, 卷号: 64, 期号: 2, 页码: 526-537
Authors:  Chen, Guang-Yong;  Gan, Min;  Chen, C. L. Philip;  Li, Han-Xiong
Favorite  |  View/Download:5/0  |  Submit date:2019/07/12
Data fitting  regularization  separable nonlinear least squares (SNLLS)  variable projection (VP)  weighted generalized cross validation (WGCV)  
An improved weighted multiplicative scatter correction algorithm with the use of variable selection: Application to near-infrared spectra 期刊论文
Chemometrics and Intelligent Laboratory Systems, 2019, 期号: 185, 页码: 114-121
Authors:  Yifan Wu;  Silong Peng;  Qiong Xie;  Quanjie Han;  Genwei Zhang;  Haigang Sun
Adobe PDF(1486Kb)  |  Favorite  |  View/Download:33/8  |  Submit date:2019/04/29
Multiplicative Scatter Correction  Weighted Least Squares  Variable Selection  Model Population Analysis  
无权访问的条目 期刊论文
Authors:  Yu, Chong;  Chen, Xi;  Yin, Lei;  Shu, Chang;  Zhao, Li;  Han, Hua
Adobe PDF(4048Kb)  |  Favorite  |  View/Download:14/1  |  Submit date:2019/07/12
A Two-Stage Estimation Algorithm Based on Variable Projection Method for GPS Positioning 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2018, 卷号: 67, 期号: 11, 页码: 2518-2525
Authors:  Chen, Guang-Yong;  Gan, Min;  Chen, C. L. Philip;  Chen, Long
Favorite  |  View/Download:25/0  |  Submit date:2019/01/08
Global navigation satellite systems (GNSSs)  least squares method  parameter estimation  variable projection (VP)  
Nonlinear least squares with local polynomial interpolation for quantitative analysis of IR spectra 期刊论文
Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2018, 期号: 206, 页码: 147-153
Authors:  Yifan Wu;  Silong Peng;  Qiong Xie;  Pengcheng Xu
Adobe PDF(1404Kb)  |  Favorite  |  View/Download:22/5  |  Submit date:2019/04/29
Spectroscopy  Quantitative Analysis  Nonlinear Least Squares  Local Polynomial Interpolation  
Groupwise Retargeted Least-Squares Regression 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 4, 页码: 1352-1358
Authors:  Wang, Lingfeng;  Pan, Chunhong
Adobe PDF(618Kb)  |  Favorite  |  View/Download:88/36  |  Submit date:2018/01/04
Groupwise  Least-squares Regression (Lsr)  Multicategory Classification  Retargeted Least-squares Regression (Relsr)  
Supervised Discrete Hashing With Relaxation 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 3, 页码: 608-617
Authors:  Gui, Jie;  Liu, Tongliang;  Sun, Zhenan;  Tao, Dacheng;  Tan, Tieniu
Favorite  |  View/Download:61/0  |  Submit date:2018/03/03
Data-dependent Hashing  Least Squares Regression  Supervised Discrete Hashing (Sdh)  Supervised Discrete Hashing With Relaxation (Sdhr)  
Analysis and Design of Functionally Weighted Single-Input-Rule-Modules Connected Fuzzy Inference Systems 期刊论文
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2018, 卷号: 26, 期号: 1, 页码: 56-71
Authors:  Li, Chengdong;  Gao, Junlong;  Yi, Jianqiang;  Zhang, Guiqing
Favorite  |  View/Download:25/0  |  Submit date:2018/10/10
Data-driven Method  Fuzzy Inference System (Fis)  Least-squares Method  Parameter Learning  Single-input Rule Module (Sirm)