Near infrared spectral variable optimization by final complexity adapted models combined with uninformative variables elimination-a validation study-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Near infrared spectral variable optimization by final complexity adapted models combined with uninformative variables elimination-a validation study

Published:2020-02 Issue: Volume:203 Page:164019
ISSN:0030-4026
Container-title:Optik
language:en
Short-container-title:Optik

Author:

Song Xiangzhong,Huang Yue^ORCID,Tian Kuangda,Min Shungeng

Funder

Open Fund of State Key Laboratory of Water Resource Protection and Utilization in Coal Mining

China Agriculture Research System for Grape Industry

Fundamental Research Funds for the Central Universities of China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference38 articles.

1. Multivariate filters combined with interval partial least square method: a strategy for optimizing PLS models developed with near infrared data of multicomponent solutions;Nespeca;Vib. Spectrosc.,2019

2. Wavelength interval selection in multicomponent spectral analysis by moving window partial least-squares regression with applications to mid-infrared and near-infrared spectroscopic data;Jiang;Anal. Chem.,2002

3. Vis-NIR spectroscopy with moving-window PLS method applied to rapid analysis of whole blood viscosity;Chen;Anal. Bioanal. Chem.,2017

4. Elimination of uninformative variables for multivariate calibration;Centner;Anal. Chem.,1996

5. An ensemble of Monte Carlo uninformative variable elimination for wavelength selection;Han;Anal. Chim. Acta,2008

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Towards Sustainable and Dynamic Modeling Analysis in Korean Pine Nuts: An Online Learning Approach with NIRS;Foods;2024-09-09

2. Detection the quality of pumpkin seeds based on terahertz coupled with convolutional neural network;Journal of Chemometrics;2024-04-18

3. Hyperspectral Imaging Combined with Convolutional Neural Network for Rapid and Accurate Evaluation of Tilapia Fillet Freshness;Spectroscopy;2023-12-08

4. Identification of oil–water-gas flow patterns by super-sparse near-infrared wavelengths sensor;Infrared Physics & Technology;2023-09

5. Spectral Quantitative Analysis and Research of Fusarium Head Blight Infection Degree in Wheat Canopy Visible Areas;Agronomy;2023-03-21

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3