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Estimation of Gaussian overlapping nuclear pulse parameters based on a deep learning LSTM model

NUCLEAR ELECTRONICS AND INSTRUMENTATION | Updated：2021-02-01

- Estimation of Gaussian overlapping nuclear pulse parameters based on a deep learning LSTM model Cover Article Enhanced Publication
- Nuclear Science and Techniques Vol.30, Issue 11, (2019)
- Affiliations：
  
  College of Nuclear Technology and Automation Engineering, Chengdu University of Technology, Dongsanlu, Erxianqiao,Chengdu,China,610059
- Author bio：
- Funds：
- DOI：10.1007/s41365-019-0691-2 CLC：
- Published：01 November 2019，
  
  Published Online：29 October 2019，
  
  Received：22 May 2019，
  
  Revised：29 June 2019，
  
  Accepted：03 July 2019
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Cite this article
Xing-Ke Ma, Hong-Quan Huang, Qian-Cheng Wang, et al. Estimation of Gaussian overlapping nuclear pulse parameters based on a deep learning LSTM model. [J]. Nuclear Science and Techniques 30(11):171(2019)
DOI：

Xing-Ke Ma, Hong-Quan Huang, Qian-Cheng Wang, et al. Estimation of Gaussian overlapping nuclear pulse parameters based on a deep learning LSTM model. [J]. Nuclear Science and Techniques 30(11):171(2019) DOI： 10.1007/s41365-019-0691-2.

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Estimation of Gaussian overlapping nuclear pulse parameters based on a deep learning LSTM model Cover Article Enhanced Publication