Title :
Neuro-fuzzy estimation of plasma boundary in ITER configuration
Author :
Morabito, F.C. ; Versaci, M.
Author_Institution :
DIMET, Universita degli Studi "Mediterranea" di Reggio Calabria, Italy
fDate :
6/24/1905 12:00:00 AM
Abstract :
In this paper a soft computing approach to estimate the distances of the plasma boundary from the first wall of the vacuum vessel in ITER machine is carried out. In particular, neuro-fuzzy inference systems are exploited in order to reconstruct the plasma shape starting from magnetic measurements. In order to build a manageable system, we exploit a nonlinear technique of ranking magnetic sensors
Keywords :
fuzzy neural nets; fuzzy set theory; inference mechanisms; physics computing; ITER FEATA configuration; ITER machine; database; extrapolation; fuzzy neural network; fuzzy set theory; inference systems; plasma boundary distance estimation; plasma shape reconstruction; soft computing; vacuum vessel; Coils; Geometry; Magnetic sensors; Magnetic variables measurement; Plasma measurements; Plasma simulation; Probes; Shape control; Shape measurement; Spatial databases;
Conference_Titel :
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7278-6
DOI :
10.1109/IJCNN.2002.1005578
