Investigation of Machine Learning Techniques for Disruption Prediction Using JET Data
Disruption prediction and mitigation is of key importance in the development of sustainable tokamak reactors. Machine learning has become a key tool in this endeavour. In this paper, multiple machine learning models are tested and compared. A focus has been placed on the analysis of a transition to...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-02-01
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| Series: | Plasma |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2571-6182/6/1/8 |