An expert system using numerical simulation and optimization to find particle beam line errors
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abstract: This paper describes an expert system that automates error-finding in particle accelerator facilities. The Automated Beam Line Expert (ABLE) combines symbolic reasoning with a well-understood physical model and sophisticated mathematical optimization techniques. Much of ABLE's knowledge was not known beforehand; instead, it was developed interactively by using ABLE to solve problems with simulated beam data.
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| Abstract | This paper describes an expert system that … This paper describes an expert system that automates error-finding in particle accelerator facilities. The Automated Beam Line Expert (ABLE) combines symbolic reasoning with a well-understood physical model and sophisticated mathematical optimization techniques. Much of ABLE's knowledge was not known beforehand; instead, it was developed interactively by using ABLE to solve problems with simulated beam data. o solve problems with simulated beam data. |
| Author | L. Selig + |
| Bibtype | techreport + |
| Institution | Knowledge Systems, AI Laboratory + |
| Key | KSL-87-36 + |
| Month | May + |
| Note | 39 pages. + |
| Number | KSL-87-36 + |
| Tag | Computer science + |
| Title | An Expert System Using Numerical Simulation and Optimization To Find Particle Beam Line Errors + |
| Tr id | KSL-87-36 + |
| Year | 1987 + |
