Estimation of trapezoidal-shaped overlapping nuclear pulse parameters based on a deep learning CNN-LSTM model

Ma, X.-K.; Huang, H.-Q.; Ji, X.; Dai, H.-Y.; Wu, J.-H.; Zhao, J.; Yang, F.; Tang, L.; Jiang, K.-M.; Ding, W.-C.; Zhou, W.

doi:10.1107/S1600577521003441

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Figure 4
Estimation results of nuclear pulse parameters based on deep learning CNN-LSTM. (a) The solid line indicates the actual value of the exponential pulse (Input x, x = 1, 2, 3, 4), and the dashed line indicates the estimated value of the exponential pulse (Input x′, x = 1, 2, 3, 4). (b) The solid line indicates the actual value of the pulse after trapezoidal shaping (Output x, x = 1, 2, 3, 4), and the dashed line indicates the pulse estimation value after trapezoidal shaping (Output x′, x = 1, 2, 3, 4).

JOURNAL OF
SYNCHROTRON
RADIATION

ISSN: 1600-5775

Volume 28| Part 3| May 2021| Pages 910-918

https://doi.org/10.1107/S1600577521003441

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