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

页数：3

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