Multivariate Prediction of Key Parameters for SMR Accidents Based on LSTM Neural Network
Accurate and timely multivariate prediction of critical parameters during small modular reactor (SMR) accidents is essential for enhancing operational safety and enabling proactive intervention. Current physical models struggle to capture complex nonlinear dynamics in real-time, while conventional d...
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| Autor principal: | |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Editorial Board of Atomic Energy Science and Technology
2026-05-01
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| coleção: | Yuanzineng kexue jishu |
| Assuntos: | |
| Acesso em linha: | https://yznkxjs.xml-journal.net/article/doi/10.7538/yzk.2025.youxian.0543 |
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