What Machine Learning Can and Cannot Do for Inertial Confinement Fusion
Machine learning methodologies have played remarkable roles in solving complex systems with large data, well-defined input–output pairs, and clearly definable goals and metrics. The methodologies are effective in image analysis, classification, and systems without long chains of logic. Recently, mac...
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| Autori principali: | , |
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| Natura: | Artigo |
| Lingua: | Inglês |
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MDPI AG
2023-06-01
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| Serie: | Plasma |
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| Accesso online: | https://www.mdpi.com/2571-6182/6/2/23 |
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