The Joint Accelerator Conferences Website (JACoW) is an international collaboration that publishes the proceedings of accelerator conferences held around the world.
TY - CONF AU - Fol, E. AU - Coello de Portugal, J.M. AU - Tomás, R. ED - Schaa, Volker RW TI - Application of Machine Learning to Beam Diagnostics J2 - Proc. of IBIC2018, Shanghai, China, 09-13 September 2018 CY - Shanghai, China T2 - International Beam Instrumentation Conference T3 - 7 LA - english AB - Machine learning techniques are used in various scientific and industry fields as a powerful tool for data analysis and automatization. The presentation is devoted to exploration of relevant machine learning methods for beam diagnostics. The target is to provide an insight into modern machine learning techniques, which can be applied to improve current beam diagnostics and general applications in accelerators. Possible concepts for future applications are also presented. PB - JACoW Publishing CP - Geneva, Switzerland SP - 169 EP - 176 KW - network KW - optics KW - diagnostics KW - controls KW - simulation DA - 2019/01 PY - 2019 SN - 978-3-95450-201-1 DO - DOI: 10.18429/JACoW-IBIC2018-TUOA02 UR - http://jacow.org/ibic2018/papers/tuoa02.pdf ER -