Spectroscopy and Spectral Analysis, Volume. 44, Issue 10, 2761(2024)

Research on Measurement Method of δ13C and δ18O Isotopes Abundance in Exhaled Gas Based on the BP Neural Network Model

HUANG Wen-biao1...2, XIA Hua2,*, WANG Qian-jin1,2, SUN Peng-shuai2, PANG Tao2, WU Bian2, and ZHANG Zhi-rong1,2,34 |Show fewer author(s)
Author Affiliations
  • 1Science Island Branch, Graduate School of University of Science and Technology of China, Hefei 230026, China
  • 2Anhui Provincial Key Laboratory of Photonic Devices and Materials, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China
  • 3Key Lab of Environmental Optics & Technology, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China
  • 4Advanced Laser Technology Laboratory of Anhui Province, National University of Defense Technology, Hefei 230037, China
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    HUANG Wen-biao, XIA Hua, WANG Qian-jin, SUN Peng-shuai, PANG Tao, WU Bian, ZHANG Zhi-rong. Research on Measurement Method of δ13C and δ18O Isotopes Abundance in Exhaled Gas Based on the BP Neural Network Model[J]. Spectroscopy and Spectral Analysis, 2024, 44(10): 2761

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    Paper Information

    Received: Apr. 19, 2023

    Accepted: Jan. 16, 2025

    Published Online: Jan. 16, 2025

    The Author Email: Hua XIA (huaxia@aiofm.ac.cn)

    DOI:10.3964/j.issn.1000-0593(2024)10-2761-07

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