Application of artificial neural network to quantitative analysis of Raman spectrum

Chen Chen; Guoping Zhang; Gang Li

doi:10.1117/12.710127

27 October 2006 Application of artificial neural network to quantitative analysis of Raman spectrum

Chen Chen, Guoping Zhang, Gang Li

Proceedings Volume 6047, Fourth International Conference on Photonics and Imaging in Biology and Medicine; 60472W (2006) https://doi.org/10.1117/12.710127
Event: Fourth International Conference on Photonics and Imaging in Biology and Medicine, 2005, Tianjin, China

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.

Citation Download Citation

Chen Chen, Guoping Zhang, and Gang Li "Application of artificial neural network to quantitative analysis of Raman spectrum", Proc. SPIE 6047, Fourth International Conference on Photonics and Imaging in Biology and Medicine, 60472W (27 October 2006); https://doi.org/10.1117/12.710127

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