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Proceedings Paper

Application of artificial neural network to quantitative analysis of Raman spectrum
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Paper Abstract

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 are 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.

Paper Details

Date Published: 27 October 2006
PDF: 7 pages
Proc. SPIE 6047, Fourth International Conference on Photonics and Imaging in Biology and Medicine, 60472W (27 October 2006); doi: 10.1117/12.710127
Show Author Affiliations
Chen Chen, Central China Normal Univ. (China)
Guoping Zhang, Central China Normal Univ. (China)
Gang Li, Central China Normal Univ. (China)


Published in SPIE Proceedings Vol. 6047:
Fourth International Conference on Photonics and Imaging in Biology and Medicine

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