Application of improved BP neural network in infrared spectroscopy

Ming-zheng Gao; Huo-ming Zhang; Shang-zhong Jin

doi:10.1117/12.758211

8 January 2008 Application of improved BP neural network in infrared spectroscopy

Ming-zheng Gao, Huo-ming Zhang, Shang-zhong Jin

Proceedings Volume 6835, Infrared Materials, Devices, and Applications; 68352H (2008) https://doi.org/10.1117/12.758211
Event: Photonics Asia 2007, 2007, Beijing, China

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.

Citation Download Citation

Ming-zheng Gao, Huo-ming Zhang, and Shang-zhong Jin "Application of improved BP neural network in infrared spectroscopy", Proc. SPIE 6835, Infrared Materials, Devices, and Applications, 68352H (8 January 2008); https://doi.org/10.1117/12.758211

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