• Corpus ID: 238583216

Universal uncertainty estimation for nuclear detector signals with neural networks and ensemble learning

@inproceedings{Ai2021UniversalUE,
  title={Universal uncertainty estimation for nuclear detector signals with neural networks and ensemble learning},
  author={Pengcheng Ai and Zhi Deng and Yi Wang and Chendi Shen},
  year={2021}
}
  • P. Ai, Zhi Deng, +1 author Chendi Shen
  • Published 11 October 2021
  • Physics
Characterizing uncertainty is a common issue in nuclear measurement and has important implications for reliable physical discovery. Traditional methods are either insufficient to cope with the heterogeneous nature of uncertainty or inadequate to perform well with unknown mathematical models. In this paper, we propose using multi-layer convolutional neural networks for empirical uncertainty estimation and feature extraction of nuclear pulse signals. This method is based on deep learning, a… 

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