Tomography using neural networks

Journal Article · Sat Mar 01 00:00:00 EST 1997 · Review of Scientific Instruments

DOI:https://doi.org/10.1063/1.1147630· OSTI ID:520959

Demeter, G ^[1]

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1. Department of Plasma Physics, Research Institute for Particle Nuclear Physics of the Hungarian Academy of Sciences, XII. Konkoly Thege Miklos ut 29-33, H-1525 Budapest, P.O. Box 49 (Hungary)

We have utilized neural networks for fast evaluation of tomographic data on the MT-1M tokamak. The networks have proven useful in providing the parameters of a nonlinear fit to experimental data, producing results in a fraction of the time required for performing the nonlinear fit. Time required for training the networks makes the method worth applying only if a substantial amount of data are to be evaluated. {copyright} {ital 1997 American Institute of Physics.}

• OSTI ID: 520959
• Journal Information: Review of Scientific Instruments, Vol. 68, Issue 3; Other Information: PBD: Mar 1997
• Country of Publication: United States
• Language: English

Related Subjects

70 PLASMA PHYSICS AND FUSION
PLASMA DIAGNOSTICS
TOMOGRAPHY
NEURAL NETWORKS
MT-1 TOKAMAK
PLASMA IMPURITIES
TOKAMAK DEVICES
X RADIATION
IMAGE PROCESSING