SEMI OpenIR  > 半导体人工神经网络实验室
Study on Discrimination of Varieties of Corn Using Near-Infrared Spectroscopy Based on GA and LDA
Wang HR; Li WJ; Liu YY; Chen XL; Lai JL; Li, WJ, Chinese Acad Sci, Inst Semicond, Beijing 100083, Peoples R China. huirong@semi.ac.cn; wjli@semi.ac.cn
2011
Source PublicationSPECTROSCOPY AND SPECTRAL ANALYSIS
ISSN1000-0593
Volume31Issue:3Pages:669-672
metadata_83[wang hui-rong; li wei-jun; liu yang-yang; chen xin-liang; lai jiang-liang] chinese acad sci, inst semicond, beijing 100083, peoples r china
KeywordNear-infrared Spectroscopy Genetic Algorithm Linear Discriminant Analysis Principal Component Analysis
Subject Area人工智能
Indexed BySCI
Language中文
Date Available2011-07-06
Document Type期刊论文
Identifierhttp://ir.semi.ac.cn/handle/172111/21371
Collection半导体人工神经网络实验室
Corresponding AuthorLi, WJ, Chinese Acad Sci, Inst Semicond, Beijing 100083, Peoples R China. huirong@semi.ac.cn; wjli@semi.ac.cn
Recommended Citation
GB/T 7714
Wang HR,Li WJ,Liu YY,et al. Study on Discrimination of Varieties of Corn Using Near-Infrared Spectroscopy Based on GA and LDA[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS,2011,31(3):669-672.
APA Wang HR.,Li WJ.,Liu YY.,Chen XL.,Lai JL.,...&wjli@semi.ac.cn.(2011).Study on Discrimination of Varieties of Corn Using Near-Infrared Spectroscopy Based on GA and LDA.SPECTROSCOPY AND SPECTRAL ANALYSIS,31(3),669-672.
MLA Wang HR,et al."Study on Discrimination of Varieties of Corn Using Near-Infrared Spectroscopy Based on GA and LDA".SPECTROSCOPY AND SPECTRAL ANALYSIS 31.3(2011):669-672.
Files in This Item:
File Name/Size DocType Version Access License
201218.pdf(1683KB) 限制开放--Application Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Wang HR]'s Articles
[Li WJ]'s Articles
[Liu YY]'s Articles
Baidu academic
Similar articles in Baidu academic
[Wang HR]'s Articles
[Li WJ]'s Articles
[Liu YY]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Wang HR]'s Articles
[Li WJ]'s Articles
[Liu YY]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.