Classification of Near-infrared Spectroscopic Glucose Concentrations Using Convolutional Neural Network

被引：0
|
作者：
Mekonnen, Bitewulign Kassa [1 ,2 ]
Yang, Webb [3 ,4 ]
Hsieh, Tung-Han [3 ]
Liaw, Shien-Kuei [1 ]
Yang, Fu-Liang [3 ]
机构：
[1] Taiwan Tech, Grad Inst Electroopt Engn, Taipei, Taiwan
[2] Acad Sinica, Grad Inst Electroopt Engn, Taipei, Taiwan
[3] Acad Sinica, Res Ctr Appl Sci, Taipei, Taiwan
[4] NTU, Res Ctr Appl Sci, Taipei, Taiwan
来源：
2020 OPTO-ELECTRONICS AND COMMUNICATIONS CONFERENCE (OECC 2020) | 2020年
关键词：
convolutional neural network; near-infrared spectroscopy; classification;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
we explored the use of convolutional neural network for classification of near-infrared spectra measured from glucose aqueous with various concentrations. Our technique could be extended to other kinds of spectrums and benefit in different topics.
引用
收藏
页数：3
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