Neural Networks for Modeling and Control of Particle Accelerators

Particle accelerators are host to myriad nonlinear and complex physical phenomena. They often involve a multitude of interacting systems, are subject to tight performance demands, and should be able to run for extended periods of time with minimal interruptions. Often times, traditional control tech...

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Veröffentlicht in:	IEEE transactions on nuclear science 2016-04, Vol.63 (2), p.878-897
Hauptverfasser:	Edelen, A. L., Biedron, S. G., Chase, B. E., Edstrom, D., Milton, S. V., Stabile, P.
Format:	Artikel
Sprache:	eng
Schlagworte:	adaptive control Analytical models article intelligence Artificial intelligence Artificial neural networks Control systems Linear particle accelerator machine learning Neural networks PARTICLE ACCELERATORS predictive control
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