Quantitative algorithm for airborne gamma spectrum of large sample based on improved shuffled frog leaping–particle swarm optimization convolutional neural network-Reference-Cited by-同舟云学术

Quantitative algorithm for airborne gamma spectrum of large sample based on improved shuffled frog leaping–particle swarm optimization convolutional neural network

Published:2023-07 Issue:7 Volume:34 Page:
ISSN:1001-8042
Container-title:Nuclear Science and Techniques
language:en
Short-container-title:NUCL SCI TECH

Author:

Li Fei^ORCID,Huang Xiao-Fei,Chen Yue-Lu,Li Bing-Hai,Wang Tang,Cheng Feng,Zeng Guo-Qiang,Zhang Mu-Hao

Publisher

Springer Science and Business Media LLC

Subject

Nuclear Energy and Engineering,Nuclear and High Energy Physics

Link

https://link.springer.com/content/pdf/10.1007/s41365-023-01265-5.pdf

Reference42 articles.

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3. Z.L. Xu, Q.M. Meng, W.J. Li et al., Data processing software system of airborne geophysical exploration based on Oasis Montaj platform. Comput. Tech. Geophys. Geochem. Explor. 36, 257–261 (2014). https://doi.org/10.3969/j.issn.1001-1749.2014.03.01 (in Chinese)

4. L.F. Wang, D.J. Xue, H. He et al., Application of plug-in technology in GeoProbe geophysical software platform. Geophys. Geochem. Explor. 37, 547–551 (2013). https://doi.org/10.11720/j.issn.1000-8918.2013.3.32 (in Chinese)

5. P. Wang, L.J. Dai, Methods and Applications of airborne gamma spectrometry data processing. Proceedings of the Eighth Annual Conference of the Chinese Geophysical Society in 1992, Kunming, 10–14 November 1992. (in Chinese)