10 July 2009 Application of neural network to qualitatively analyze Raman spectra of mixtures
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Proceedings Volume 7490, PIAGENG 2009: Intelligent Information, Control, and Communication Technology for Agricultural Engineering; 749029 (2009) https://doi.org/10.1117/12.836648
Event: International Conference on Photonics and Image in Agriculture Engineering (PIAGENG 2009), 2009, Zhangjiajie, China
Abstract
Raman spectrum is the fingerprint of the molecule, and Raman peak locations relate to the structure of the molecule, so identification of specimen can be performed based on Raman spectroscopy. However, classification of Raman peaks of the mixture is usually difficult, especially, when Raman peaks of one component are overlapped with, even dominated by those of other component. As a nonlinear dynamic system, artificial neural network simulates the functions and characters of biological neural systems, and has been widely used in signal process. Firstly, this paper introduced the principles of Raman spectroscopy and the technique of artificial neural network. Secondly, Raman spectra of the mixtures of CCl4 and ClO4 - were analyzed using BP artificial neural networks. The results showed that artificial neural network technology is flexible, affordable and easily adapted to qualitative analysis of Raman spectrum of the mixture.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gang Li, "Application of neural network to qualitatively analyze Raman spectra of mixtures", Proc. SPIE 7490, PIAGENG 2009: Intelligent Information, Control, and Communication Technology for Agricultural Engineering, 749029 (10 July 2009); doi: 10.1117/12.836648; https://doi.org/10.1117/12.836648
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