27 October 2006 Application of artificial neural network to quantitative analysis of Raman spectrum
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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.
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Chen Chen, Chen Chen, Guoping Zhang, Guoping Zhang, Gang Li, 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); doi: 10.1117/12.710127; https://doi.org/10.1117/12.710127
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