Deep Learning Model Based Gamma Spectrum Analysis Method
In view of the limitations of existing gamma spectrum analysis methods on nuclides identification and activity evaluation, a special deep learning model was proposed which consists of 51 layers and more than 107 parameters. Based on multitude residual convolutional modules, this model can extract ch...
Main Author: | ZHAO Ri;LIU Na |
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Format: | Article |
Language: | English |
Published: |
Editorial Board of Atomic Energy Science and Technology
2023-02-01
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Series: | Yuanzineng kexue jishu |
Subjects: | |
Online Access: | https://www.aest.org.cn/CN/10.7538/yzk.2022.youxian.0215 |
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