Accuracy improvement of laser-induced breakdown spectroscopy coal analysis by hybrid transfer learning
Author:
Affiliation:
1. Wuhan National Laboratory for Optoelectronics (WNLO), Huazhong University of Science and Technology (HUST), Wuhan, Hubei, 430074, P. R. China
Abstract
Funder
China Postdoctoral Science Foundation
National Natural Science Foundation of China
Publisher
Royal Society of Chemistry (RSC)
Subject
General Engineering,General Chemical Engineering,Analytical Chemistry
Link
http://pubs.rsc.org/en/content/articlepdf/2023/AY/D3AY01380D
Reference30 articles.
1. National Bureau of Statistics of China , Statistical Communiqué of the People's Republic of China on the 2022 National Economic and Social Development , http://www.stats.gov.cn/english/PressRelease/202302/t20230227_1918979.html , (accessed 4 April 2023)
2. TGA–DSC Combined Coal Analysis as a Tool for QC (Quality Control) and Reactivity Patterns of Coals
3. A CNN-based regression framework for estimating coal ash content on microscopic images
4. Price Estimation of Coal Seam and Its Application in the Optimization of the Mining Sequence: A Case Study
5. Determination of ash content, volatile matter, and calorific value in coal by OLS combined with laser-induced breakdown spectroscopy based on PC recombination
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