A feature-selection algorithm based on Support Vector Machine-Multiclass for hyperspectral visible spectral analysis-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A feature-selection algorithm based on Support Vector Machine-Multiclass for hyperspectral visible spectral analysis

Published:2013-11 Issue:1 Volume:119 Page:159-166
ISSN:0260-8774
Container-title:Journal of Food Engineering
language:en
Short-container-title:Journal of Food Engineering

Author:

Deng Shuiguang,Xu Yifei,Li Li,Li Xiaoli,He Yong

Funder

863 National High-Tech Research and Development Plan

National Natural Science Foundation of China

National Science and Technology Support Program of China

Publisher

Elsevier BV

Subject

Food Science

Reference27 articles.

1. Principal component analysis;Abdi;Wiley Interdisciplinary Reviews: Computational Statistics,2010

2. The successive projections algorithm for variable selection in spectroscopic multicomponent analysis;Araújo;Chemometrics and Intelligent Laboratory Systems,2001

3. Selection of relevant features and examples in machine learning;Blum;Artificial Intelligence,1997

4. Elimination of uninformative variables for multivariate calibration;Centner;Analytical Chemistry,1996

5. LIBSVM: a library for support vector machines;Chang;ACM Transactions on Intelligence System and Technology,2011

Cited by 35 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. A systematic review of hyperspectral imaging in precision agriculture: Analysis of its current state and future prospects;Computers and Electronics in Agriculture;2024-07

2. Detection of saffron adulteration with Crocus sativus style using NIR-hyperspectral imaging and chemometrics;Food Control;2024-03

3. A comprehensive review of external quality measurements of fruits and vegetables using nondestructive sensing technologies;Journal of Agriculture and Food Research;2024-03

4. Machine learning–assisted multispectral and hyperspectral imaging;Machine Learning and Artificial Intelligence in Chemical and Biological Sensing;2024

5. Applications of hyperspectral imaging in the coffee industry: Current research and future outlook;Applied Spectroscopy Reviews;2023-12-22

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