Xing-Ke Ma; Hong-Quan Huang; Qian-Cheng Wang; Jing Zhao; Fei Yang; Kai-Ming Jiang; Wei-Cheng Ding; Wei Zhou

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

NUCLEAR ELECTRONICS AND INSTRUMENTATION | 更新时间：2021-02-01

- Estimation of Gaussian overlapping nuclear pulse parameters based on a deep learning LSTM model 封面论文增强出版
- Estimation of Gaussian overlapping nuclear pulse parameters based on a deep learning LSTM model
- 核技术（英文版） 2019年 30卷第11期 (2019)
- 作者机构：
  
  College of Nuclear Technology and Automation Engineering, Chengdu University of Technology, Dongsanlu, Erxianqiao,Chengdu,China,610059
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China;Scientific Research Fund of Sichuan Provincial Education Department;Scientific Research Innovation Team of Chengdu University of Technology
- DOI：10.1007/s41365-019-0691-2 中图分类号：
- 纸质出版日期：2019-11-01，
  
  网络出版日期：2019-10-29，
  
  收稿日期：2019-05-22，
  
  修回日期：2019-06-29，
  
  录用日期：2019-07-03
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Xing-Ke Ma, Hong-Quan Huang, Qian-Cheng Wang, 等. Estimation of Gaussian overlapping nuclear pulse parameters based on a deep learning LSTM model[J]. 核技术（英文版）, 2019, 30(11):171

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, 2019, 30(11):171
Xing-Ke Ma, Hong-Quan Huang, Qian-Cheng Wang, 等. Estimation of Gaussian overlapping nuclear pulse parameters based on a deep learning LSTM model[J]. 核技术（英文版）, 2019, 30(11):171 DOI： 10.1007/s41365-019-0691-2.

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, 2019, 30(11):171 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 封面论文 增强出版

Estimation of Gaussian overlapping nuclear pulse parameters based on a deep learning LSTM model 封面论文增强出版