Advancements and challenges of machine learning and deep learning in autonomous control of nuclear reactors
This review paper explores recent advancements in the application of machine learning (ML) and deep learning technologies for autonomous control in nuclear reactors. It covers intelligent diagnosis systems using ML, deep learning algorithms, and hybrid approaches for reactor condition assessment. In...
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| Published in: | Annals of nuclear energy Vol. 223; p. 111643 |
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| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Elsevier Ltd
01.12.2025
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| ISSN: | 0306-4549 |
| Online Access: | Get full text |
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