Rapid radionuclide identification algorithm based on the discrete cosine transform and BP neural network-Reference-Cited by-同舟云学术

Rapid radionuclide identification algorithm based on the discrete cosine transform and BP neural network

Published:2018-02 Issue: Volume:112 Page:1-8
ISSN:0306-4549
Container-title:Annals of Nuclear Energy
language:en
Short-container-title:Annals of Nuclear Energy

Author:

He Jianping,Tang Xiaobin,Gong Pin,Wang Peng,Wen Liangsheng,Huang Xi,Han Zhenyang,Yan Wen,Gao Le

Funder

National Natural Science Foundation of China

Foundation of Graduate Innovation Center

Primary Research and Development Plan of Jiansu Province

Fundamental Research Funds for the Central Universities

Funding of Jiangsu Innovation Program for Graduate Education

Priority Academic Program Development of Jiangsu Higher Education Institutions

Publisher

Elsevier BV

Subject

Nuclear Energy and Engineering

Reference16 articles.

1. Discrete cosine transform;Ahmed;IEEE. Trans. Comput. C,1974

2. Ansi, N., 2007. American National Standard for Evaluation and Performance of Radiation Detection Portal Monitors for Use in Homeland Security. ANSI N42.35-2006. c1-35.

3. Principal component analysis of gamma-ray spectra for radiation portal monitors;Boardman;IEEE. Trans. Nucl. Sci.,2012

4. Real-time radionuclide identification in γ-emitter mixtures based on spiking neural network;Bobin;Appl. Radiat. Isot.,2016

5. Nuclide identification algorithm based on K-L transform and neural networks;Chen;Nucl. Instrum. Methods Phys. Res. A.,2009

Cited by 38 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Simulation study on identification of gamma ray-emitting radionuclides based on scintillation light output ratios;Radiation Physics and Chemistry;2025-01

2. Rapid nuclide identification algorithm based on self-attention mechanism neural network;Annals of Nuclear Energy;2024-11

3. Bayesian peak identification method for low count rate gamma spectrum under short-time measurement based on physical priors;Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment;2024-10

4. Utilizing artificial neural networks to convert gamma-ray spectra from NaI(Tl) detectors to HPGe detector gamma-ray spectra;Annals of Nuclear Energy;2024-06

5. Nanozyme-induced deep learning-assisted smartphone integrated colorimetric and fluorometric dual-mode for detection of tetracycline analogs;Analytica Chimica Acta;2024-04