Multivariate-coupling LOCA prediction using zLSTM
A novel deep learning model zLSTM, which evolves from Long-Short Term Memory (LSTM) with enhanced long-term processing capability, is applied to the prediction of Loss of Coolant Accident (LOCA). During the prediction process, six-dimensional multivariate coupling is established among six major syst...
| Published in: | Frontiers in Nuclear Engineering |
|---|---|
| Main Authors: | , , , , |
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2024-05-01
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| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fnuen.2024.1386540/full |