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Spectrometry analysis based on approximation coefficients and deep belief networks

NUCLEAR ELECTRONICS AND INSTRUMENTATION | Updated：2021-02-07

- Spectrometry analysis based on approximation coefficients and deep belief networks Cover Article Enhanced Publication
- Nuclear Science and Techniques Vol.29, Issue 5, (2018)
- Affiliations：
  
  Department of Nuclear Science & Engineering, Nanjing University of Aeronautics and Astronautics,Nanjing,China,210016;Jiangsu Key Laboratory of Nuclear Energy Equipment Materials Engineering,Nanjing,China,210016
- Author bio：
- Funds：
- DOI：10.1007/s41365-018-0402-4 CLC：
- Published：01 May 2018，
  
  Published Online：31 March 2018，
  
  Received：28 August 2017，
  
  Revised：12 October 2017，
  
  Accepted：15 November 2017
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Cite this article
Jian-Ping He, Xiao-Bin Tang, Pin Gong, et al. Spectrometry analysis based on approximation coefficients and deep belief networks. [J]. Nuclear Science and Techniques 29(5):69(2018)
DOI：

Jian-Ping He, Xiao-Bin Tang, Pin Gong, et al. Spectrometry analysis based on approximation coefficients and deep belief networks. [J]. Nuclear Science and Techniques 29(5):69(2018) DOI： 10.1007/s41365-018-0402-4.

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Spectrometry analysis based on approximation coefficients and deep belief networks Cover Article Enhanced Publication