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Abstract

The shaping of non-circular plasmas requires a non-linear mapping between the measured diagnostic signals and selected equilibrium parameters. The particular configuration of Neural Network, known as the multi-layer perceptron, is introduced. It provides a powerful and general technique for formulating an arbitrary, continuous, non-linear, multi-dimensional mapping. This technique has been successfully applied to the extraction of equilibrium parameters from measurements of single-null diverted plasmas in the DIII-D tokamak. The results are compared with a purely linear mapping. The method is promising, and hardware implementation is straightforward.

Additional information

Authors: LISTER J B, Centre de Recherches en Physique des Plasmas, Ecole Polytechnique Fédérale de Lausanne, Lausanne (CH);SCHNURRENBERGER H, Centre de Recherches en Physique des Plasmas, Ecole Polytechnique Fédérale de Lausanne, Lausanne (CH)
Bibliographic Reference: Report: LRP 397/90 EN (1990) 26 pp.
Availability: Available from Confédération Suisse, Centre de Recherches en Physique des Plasmas, Ecole Polytechnique Fédérale de Lausanne, 21 avenue des Bains, 1007 Lausanne (CH)
Record Number: 199011301 / Last updated on: 1994-12-01
Category: PUBLICATION
Original language: en
Available languages: en
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