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Proceedings Paper

Application of improved BP neural network in infrared spectroscopy
Author(s): Ming-zheng Gao; Huo-ming Zhang; Shang-zhong Jin
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Paper Abstract

Artificial neural network(ANN), as a computing model possessing high-nonlinear mapping ability, has a wide application future in engineering. In this paper, combined with some practical problems in infrared spectroscopy, the method of quantitative analysis of the infrared spectrum using the improved BP-NN is discussed. The non-linear relationships between the component concentrations and the peak strengths are obtained. The method was tested and the resulted showed that the system performance was better than with several other commonly used conventional methods. Finally the problems which should be paid attention to are indicated and some helpful advice is given.

Paper Details

Date Published: 8 January 2008
PDF: 11 pages
Proc. SPIE 6835, Infrared Materials, Devices, and Applications, 68352H (8 January 2008); doi: 10.1117/12.758211
Show Author Affiliations
Ming-zheng Gao, China Jiliang Univ. (China)
Huo-ming Zhang, China Jiliang Univ. (China)
Shang-zhong Jin, China Jiliang Univ. (China)

Published in SPIE Proceedings Vol. 6835:
Infrared Materials, Devices, and Applications
Yi Cai; Haimei Gong; Jean-Pierre Chatard, Editor(s)

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