Adaptive Machine Learning for Robust Diagnostics and Control of Time-Varying Particle Accelerator Components and Beams

Machine learning (ML) is growing in popularity for various particle accelerator applications including anomaly detection such as faulty beam position monitor or RF fault identification, for non-invasive diagnostics, and for creating surrogate models. ML methods such as neural networks (NN) are usefu...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:Information
المؤلف الرئيسي: Alexander Scheinker
التنسيق: مقال
اللغة:الإنجليزية
منشور في: MDPI AG 2021-04-01
الموضوعات:
machine learning
adaptive control
time-varying systems
الوصول للمادة أونلاين:https://www.mdpi.com/2078-2489/12/4/161

الانترنت

https://www.mdpi.com/2078-2489/12/4/161

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