Neural networks and orbit control in accelerators

Conference · Fri Jul 01 00:00:00 EDT 1994

OSTI ID:10165472

Bozoki, E; Friedman, A

An overview of the architecture, workings and training of Neural Networks is given. We stress the aspects which are important for the use of Neural Networks for orbit control in accelerators and storage rings, especially its ability to cope with the nonlinear behavior of the orbit response to `kicks` and the slow drift in the orbit response during long-term operation. Results obtained for the two NSLS storage rings with several network architectures and various training methods for each architecture are given.

• Research Organization: Brookhaven National Lab., Upton, NY (United States)
• Sponsoring Organization: USDOE, Washington, DC (United States)
• DOE Contract Number: AC02-76CH00016
• OSTI ID: 10165472
• Report Number(s): BNL-60586; CONF-940618-9; ON: DE94014877
• Resource Relation: Conference: EPAC 94 - 4. European particle accelerator conference,London (United Kingdom),27 Jun - 1 Jul 1994; Other Information: PBD: [1994]
• Country of Publication: United States
• Language: English

Related Subjects

43 PARTICLE ACCELERATORS
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
ACCELERATORS
NEURAL NETWORKS
BEAM DYNAMICS
COMPUTERIZED CONTROL SYSTEMS
ORBITS
430303
430200
990200
EXPERIMENTAL FACILITIES AND EQUIPMENT
BEAM DYNAMICS, FIELD CALCULATIONS, AND ION OPTICS
MATHEMATICS AND COMPUTERS