Improving DOAS system measurement precision with artificial neural network method

Guangxue Xuebao/Acta Optica Sinica

Volumn 22, Issue 11, 2002, Pages 1345-1349

  Qi, Feng ^a   Liu, Wenqing ^a   Zhou, Bin ^a   Li, Zhenbi ^a   Cui, Yanjun ^a  

^a INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

Author keywords

Differential optical absorption spectroscopy (DOAS); Madaline artificial neural network

Indexed keywords

LEARNING SYSTEMS; NEURAL NETWORKS; SPECTRUM ANALYSIS;

DIFFERENTIAL OPTICAL ABSORPTION SPECTROSCOPY MADALINE ARTIFICIAL NEURAL; NETWORK;

ABSORPTION SPECTROSCOPY;

EID: 0036880490     PISSN: 02532239     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (5)

1. 2 by differential optical absorption. Geophys. Res., 1979, 84: 6329-6335
2. Stutz J, Platt U. Numerical analysis and estimation of the statistical error of differential optical absorption spectroscopy measurements with least-squares methods. Appl. Opt., 1996, 35 (30): 6041-6053
3. Zhou Bin, Liu Wenqing, Qi Feng et al.. The studying of method to retrieve concentration in differential optical absorption spectroscopy for measuring air pollutants. Chinese J. Physics, 2001, 50 (9): 1818-1823 (in Chinese)
4. Zhou Bin, Liu Wenqing, Qi Feng et al.. Differential optical absorption spectroscopy for atmospheric trace gases monitoring. The Research of Environment Sciences, 2001, 14 (5): 23-26 (in Chinese)
5. Wang Wei. Principle of Artificial Neural Network: Introduction and Application. Beijing: Beijing University of Aeronautics and Astronautics Publishing House, 1995. 44-50 (in Chinese)