Application of Artificial Neural Network to quantitative analysis of Raman spectrum

被引：0
|
作者：
Chen, Chen [1 ]
Zhang, Guoping [1 ]
Li, Gang [1 ]
机构：
[1] Cent China Normal Univ, Coll Phys Sci & Technol, Wuhan 430079, Peoples R China
来源：
FOURTH INTERNATIONAL CONFERENCE ON PHOTONICS AND IMAGING IN BIOLOGY AND MEDICINE, PTS 1 AND 2 | 2006年 / 6047卷
关键词：
Artificial Neural Network; Back-Propagation algorithm; Raman spectrum; multi-component analysis; azo-dyes; Sudan; 1; Sudan III;
D O I：
10.1117/12.710127
中图分类号：
Q6 [生物物理学];
学科分类号：
071011 ;
摘要：
By means of Artificial Neural Network and Back-Propagation algorithm, the multi-component of azo-dyes can be qualitatively and quantitatively analyzed simultaneously, though their Raman spectra arc overlapped. This article designed a Back-Propagation algorithm network to analyze the multi-component of azo-dyes (Sudan I and Sudan III). In conclusion, by using the Artificial Neural Network and Raman spectrum can be a good choice for resolving multi-component.
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页数：7
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