Published 1995
| Version v1
Book
A neural network technique for the selection of the number and location of the magnetic sensors for plasma shape reconstruction in ITER
Creators
- 1. Dipt. di Ingegneria Elettronica e Matematica Applicata, Univ. di Reggio Calabria (Italy)
- 2. Dept. of Physics/Dept. of Electrical Engineering and Microelectronics, University Coll., Cork (Ireland)
Description
This paper introduces a simple technique based on the use of a neural network model for shape reconstruction in ITER as well as for selecting a number of sensors and locations of particular relevance for shape identification. The method has been applied to a dataset of about 300 limiter discharges. (orig.)
Additional details
Publishing Information
- Publisher
- Elsevier.
- Imprint Place
- Amsterdam (Netherlands)
- ISBN
- 0-444-82220-8
- Imprint Title
- Fusion technology 1994. Proceedings. Vol. 1
- Imprint Pagination
- 889 p.
- Journal Page Range
- p. 795-798.
Conference
- Title
- 18. European symposium on fusion technology (SOFT-18).
- Original Conference Title
- 18. Europaeische Fusionstechnologie-Konferenz
- Dates
- 22-26 Aug 1994.
- Place
- Karlsruhe (Germany).
INIS
- Country of Publication
- Netherlands
- Country of Input or Organization
- Netherlands
- INIS RN
- 27049521
- Subject category
- S70: PLASMA PHYSICS AND FUSION TECHNOLOGY;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- ITER TOKAMAK; MAGNETIC FIELDS; MAGNETIC PROBES; PLASMA; SHAPE
- Descriptors DEC
- CLOSED PLASMA DEVICES; PROBES; THERMONUCLEAR DEVICES; THERMONUCLEAR REACTORS; TOKAMAK DEVICES; TOKAMAK TYPE REACTORS