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Updated: Sep 9, 2025

Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements
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Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements

Published on: September 7, 2019

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跨仪器和煤炭类型的煤炭质量光谱分析中的校准转移方法研究

Jiaxuan Li1, Jiaxin Yin1, Rui Gao1

  • 1State Key Laboratory of Quantum Optics and Quantum Optics Devices, Institute of Laser Spectroscopy, Shanxi University, Taiyuan, 030006, China; Collaborative Innovation Center of Extreme Optics, Shanxi University, Taiyuan, 030006, China.

Analytica chimica acta
|September 3, 2025
PubMed
概括

域对抗神经网络 (DANN) 通过在不同仪器和煤类型之间实现强大的光谱校准转移,显著改善了煤炭质量分析. 这种机器学习方法的性能优于传统方法, 需要更少的校准样本才能达到高精度.

关键词:
校准转移煤炭质量分析域对抗神经网络 (DANN)频谱分析

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